Software Senior Engineer - Data Path (C, C++)The Data Protection Software Engineering team delivers next-generation data protection and data availability enhancements and new products for a changing world. Working at the cutting edge, we design and develop software to protect data hosted across On-Prem, Public Cloud, Hybrid Cloud - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us as a Software Principal Engineer on our Engineering Development team in Hopkinton, Massachusetts Development Center to do the best work of your career and make a profound social impact.What you’ll achieveAs a Software Principal Engineer, you will develop next-generation cyber resiliency and data protection software for Dell's Data Protection team. You will be responsible for developing sophisticated software systems and solutions safeguarding enterprise-level customer data against data loss, cyber threats, and ransomware attacks—while driving through AI-powered solutions for enhanced cyber resiliency. You will:- Develop next generations products and will have an opportunity to shape the best client technologies in the world- Contribute to the design and architecture of high-quality, complex systems and software/storage environments- Contribute to the development and implementation of test strategies for complex software products and systems- Prepare, review and evaluate software specifications based on the product requirements, and contribute to the designs and implement them as product features with specific focus on device and serviceability of client nt experience working in Agile SDLC, Bachelors or Masters in Computer Science- C/C++, Golang, Win 32/Storage API, Windows/Linux/Unix Programming, experience in Windows, Linux, Aix operating systems, Systems Programming, Networking, File systems and block layers- Strong understanding of CPU architecture, Multi-Threaded Environments, Concurrency Databases, Storage Technologies, stack and I/O data path, hands on exposure with AI technologies and proficient usage of AI tools

100% remote role working at a Series A AI startup!

This Jobot Job is hosted by: Brandon Bays
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $175,000 - $210,000 per year

A bit about us:

Location: 100% remote any time zone in the United States

Compensation: $170-225K base salary + equity

We are working with a Series A LegalTech AI startup that’s making major strides in modernizing enterprise law firms’ deal processes through powerful backend infrastructure and cutting-edge AI integration.

Tech Stack: Golang, Postgres, GCP, Kubernetes, React, Temporal, GitOps, ArgoCD, OpenAI, Anthropic

Why join us?

• Remote work setup with an internationally distributed team
• Work on greenfield projects with wide scope and autonomy
• Ship products used directly by enterprise customers
• Join a senior, collaborative engineering team focused on pragmatic execution
• Chance to work in a Series A funded startup on the ground level with high level of agency and ownership

Job Details

Ideal Background:

• 5-10 years of experience as a backend or backend leaning fullstack engineer
• Experience with Golang preferred, open to Python/Java/C/C++/C#/Rust as well
• Experience with LLMs / AI Agents or a true passion/interest to get in this space

Not a Fit If:

• Only large-company experience with no startup/small team exposure
• Consulting background
• Bootcamp-only education or less than 4 years experience
• No interest in Gen AI / LLMs, etc

Interested in hearing more? Easy Apply now by clicking the “Apply” button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time DescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people’s lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation’s history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history.

Job Description:

Designs, develops, documents, tests and debugs applications software and systems that contain logical and mathematical solutions. Conducts multidisciplinary research and collaborates with equipment designers and/or hardware engineers in the planning, design, development, and utilization of electronic data processing systems for product and commercial software. Determines computer user needs; analyzes system capabilities to resolve problems on program intent, output requirements, input data acquisition, programming techniques and controls; prepares operating instructions; designs and develops compilers and assemblers, utility programs, and operating systems. Ensures software standards are met.

this position is contingent upon funding and placement

Basic Qualifications:

• Active Secret Security Clearance
• Active 8570 IAT Level II Certification (i.e. CompTIA Security +)
• For a level 3 : 5 Years with bachelor’s in science, Technology, Engineering, and Mathematics (STEM), 2 years Masters or additional years of experience in lieu of a degree
• For a level 4: 8 years with bachelor’s in science, Technology, Engineering, and Mathematics (STEM), 6 years Masters or additional years of experience in lieu of a degree
• Strong understanding of Golang syntax, structures, and idioms.
• Understanding of basic data structures (arrays, slices, maps) and algorithms.
• Proficiency in Golang’s error handling conventions.
• Experience in building and consuming RESTful APIs.
• Knowledge of writing unit tests and integration tests in Golang
• Proficient with the Linux operating system
• Familiarity with CI/CD tools and practices.

Preferred Qualifications:

• Understanding how to build and deploy Go applications across different platforms.
• Understanding of microservices principles and how to implement them in Go.
• Experience with gRPC and protobuf (or similar)
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Understanding of cybersecurity principles and best practices.
• Strong communication skills and the ability to mentor junior developers.

Primary Level Salary Range: $119,600.00 - $179,400.00Secondary Level Salary Range: $149,300.00 - $223,900.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate’s experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Lead AI/ML Engineer (Platform, kubeflow) Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
• At least 4 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, delivering, and supporting AI services
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Lead AI Engineer
New York, NY: $215,200 - $245,600 for Lead AI Engineer
San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer, AI Foundations Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
• At least 4 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, delivering, and supporting AI services
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
McLean, VA: $197,300 - $225,100 for Lead AI Engineer
New York, NY: $215,200 - $245,600 for Lead AI Engineer
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
• At least 8 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer
McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer
New York, NY: $293,600 - $335,100 for Distinguished AI Engineer
Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer
San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer
San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform Services) Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
• At least 4 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, delivering, and supporting AI services
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York, NY: $215,200 - $245,600 for Lead AI Engineer
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer, AI Foundations Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
• At least 6 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement.
• A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them.
• Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%.
• Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents.
• You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG.
• You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
• Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master’s degree plus at least 8 years of experience developing AI and ML algorithms or technologies
• At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen)
• 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning)
• 8+ years of experience designing mission-critical machine learning platforms
• 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Master’s degree in Computer Science, Computer Engineering, or relevant technical field
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
• Experience leading GenAI or LLM-Powered application architectures in production
• Deep understanding of Responsible AI, data privacy and multi-tenant security patterns
• K8s mastery (multi-region clusters, service mesh)
• Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer
San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer
San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
• At least 4 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, delivering, and supporting AI services
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
McLean, VA: $197,300 - $225,100 for Lead AI Engineer
New York, NY: $215,200 - $245,600 for Lead AI Engineer
San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer
San Jose, CA: $215,200 - $245,600 for Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• You will play a crucial role to architect and launch conversational experiences that are powered by state of art Generative AI capabilities to millions of Capital One customers
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master’s degree plus at least 6 years of experience developing AI and ML algorithms or technologies
• At least 8 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Master’s degree in Computer Science, Computer Engineering, or relevant technical field
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer
McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer
New York, NY: $293,600 - $335,100 for Distinguished AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (AI Foundations) Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
• At least 6 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• Experience designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform.

You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team’s success.

In this role, you will :

• Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform
• Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics
• Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows
• Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models
• Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions
• Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities
• Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
• At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications :

• Master’s Degree in Computer Science or a Master’s Degree in Software Engineering
• Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management)
• Experience building platforms that support LLM training, fine-tuning, or high-throughput inference
• Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies
• History of upstream contributions to major distributed systems projects

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer
Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer
Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer
San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer
San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Leidos has numerous opportunities for DevOps Engineers within our Intelligence Sector's, Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. Job Summary: Leidos is seeking highly experienced DevOps Engineers to support the development and evolution of a Kubernetes-native platform used to orchestrate and deploy workloads within its own cluster. This role combines backend architecture, and cloud-native technologies, requiring deep technical expertise and cross-team collaboration. Responsibilities include: Own and advance a Kubernetes-native workload orchestration application. Develop and maintain containerized microservices Support infrastructure provisioning and automation via Ansible and IaC tools. Implement cloud-native components leveraging Go, TypeScript, and Python. Collaborate with engineering teams to ensure operational excellence and system integration. Improve platform observability and event-driven system performance. Maintain robust documentation and enforce internal development standards. Basic Qualifications: This posting is for multiple opportunities ranging in years of experience. Level of opportunity, including compensation, will be matched to a candidate's experience Bachelor's Degree in Computer Science or related discipline from an accredited college or university. Four (4) years of additional experience may be substituted for a bachelor's degree. Level 0 - Bachelors and 2-7 years of experience Level 1 - Bachelors and 7-14 years of experience Level 2 - Bachelors and 14-20 years of experience Level 3 - Bachelors and 20 or more years of experience Expertise in infrastructure provisioning, Ansible CM, and cloud-native ecosystems. Proficiency with at least one of the following languages Go (Golang), TypeScript, or Python, Strong experience with Kubernetes Familiarity with CI/CD pipelines and Git workflows. Exceptional debugging, problem-solving, and communication skills. Clearance Required: Must have an active TS/SCI with Polygraph. Preferred Qualifications: Familiarity with Atlassian tools (Jira, Bamboo, Fisheye) and Agile/CI workflows. Familiarity with Kafka and event-driven architecture. Experience with Linux/UNIX administration and SIGINT dataflows. Hands-on experience with Kafka, NiFi, MetalLB, MinIO in production. Knowledge of observability tools (Prometheus, Grafana) and Rancher Suite (Harvester, Longhorn, KubeVirt). Infrastructure automation using cloud-init or Terraform. This posting is for multiple opportunities ranging in years of experience. Level of opportunity, including compensation, will be matched to a candidate's experience conmd KQW If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 and moving faster than anyone else dares. Original Posting: May 1, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $17.2 billion for the fiscal year ended January 2, 2026. For more information, visit Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.com. Commitment and Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Caesars Entertainment Inc. is one of the world's most diverse Entertainment companies spanning multiple entertainment platforms ranging from Resorts, Casinos, Sportsbook to Digital gaming and entertainment. Our iconic global brands include Caesars Palace, Eldorado, Tropicana, Harrahs, Flamingo, Horseshoe, The LINQ, Planet Hollywood, Paris, Nobu Hotel and many more, and our loyalty platform Caesars Rewards is the most popular in the gaming industry. Our Team Members create the extraordinary! This DevOps Engineer position will be a part of the Rewards Member Products team that leads and engages in the Empires most exciting programs and projects. We are seeking a skilled DevOps Engineer to support our development teams in managing their cloud and datacenter deployments. You will have the opportunity to partner with technology and business teams to build exciting and innovative solutions that reach across the globe to application users and customers. With an abundance of opportunities within the Empire, you can learn new technologies, interact with key business partners and be involved in exciting expansions and program launches. RESPONSIBILITIES Provide guidance/support and collaborate with development teams on their cloud and datacenter products/deployments. Work closely with Tech Leads of various teams to assess existing solutions, identify opportunities, and design process improvement. Identify and fix bottlenecks in development and deployment processes Develop and maintain CI/CD pipelines to ensure efficient and reliable software delivery in centralized/distributed repositories Maintain a proper agile workflow for the DevOps team Management and support of cloud services, container orchestration and scalable storage services Implement and promote best practices for infrastructure management, security, and compliance Monitor system performance and provide recommendations for improvements Troubleshoot and resolve infrastructure-related issues in collaboration with development teams Conduct training sessions and create documentation to empower development teams in managing their deployments Stay updated with the latest industry trends and technologies to continuously improve processes QUALIFICATIONS 5-7+ years of hands-on experience as a DevOps Engineer or in a similar role Strong knowledge of cloud platforms (AWS strongly preferred). Experience with datacenter management and virtualization technologies Excellent scripting skills with tools (Groovy, PowerShell, Bash, GoLang) Familiarity with AWS ALB ingress controller preferred Extensive experience with implementing and maintaining high-scale cloud infrastructure as code (Terraform strongly preferred) In-depth knowledge and experience with containerization (Docker) and scaling with Kubernetes (EKS, GKS) In-depth experience implementing and maintaining automation/configuration management solutions (Terraform strongly preferred) Experiencing administering and automating practical solutions for SDLC through CI and related tools (Jenkins, Git, SVN, Jira, Confluence) Experience with administering and automating high-availability environments in cloud infrastructure Excellent knowledge of AWS cloud services, including, but not limited to EKS, and S3 buckets Experience administrating Kafka instances AWS Certification a plus

Do you ever wonder how the packages show up at your door when you ordered from Amazon?Amazon's global fulfillment business is one of the largest and most complex operations in the world. Our technologically advanced warehouses and a fleet of Robots are at the center. They form the invisible back half of Amazon that magically turns your click of a button into a product at your door. Quality Technology Service is a key part of that solution, enabling the flow of inventory into and out of warehouses for a shipment. Are you ready for a challenge? Would you like to use your engineering or computer science background to optimize and solve complex problem's? Are you interested in building and supporting Robotics supply chain planning software at scale? As a System Development Engineer, you will be responsible to build and support our next generation of supplu chain planning (SCP) systems, work that includes scaling our systems to handle thousands of parts for procurement, planning and manufacturing. The System Development Engineer will design, develop, integrate, troubleshoot, and optimize various automation solutions, while acting as a engineering leader for our internal/external engineering partner teams. A commitment to teamwork, hustle, and strong communication skills are absolute requirements. Creating reliable, scalable, and high-performance services and architectures require exceptional technical expertise. If you have that type of expertise, you enjoy working on complex system software, you are customer centric, and you are motivated about building systems that can be operated at global scale with minimal human intervention, then we want to talk to you! Key job responsibilities \* Configure and customize the Kinaxis platform to meet the specific requirements of Amazon Robotics' supply chain and operations. \* Develop and implement complex Kinaxis workflows, business rules, and integrations to automate and optimize supply chain processes. \* Collaborate with the Kinaxis development team to extend the platform's capabilities through custom applications and extensions to drive continuous enhancements and optimizations. \* Participate in cross-functional project teams to ensure successful Kinaxis implementations and upgrades. \* Monitor Kinaxis platform performance, identify areas for improvement and implement optimization strategies to enhance system responsiveness, scalability, and reliability. \* Proactively troubleshoot and resolve issues related to Kinaxis functionality, integrations, and data processing. \* Collaborate with business stakeholders to understand their reporting and analytics requirements and translate them into effective Kinaxis solutions. \* Provide training and support to end-users on the Kinaxis platform, including functionality, workflows, and best practices. \* Develop user guides, training materials, and documentation to facilitate user adoption and self-service. \* Identify opportunities for process improvements and innovations within the Kinaxis platform. \* Effectively communicate project status, risks, and issues to stakeholders and project sponsors. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If youre passionate about this role and want to make an impact on a global scale, please apply! About the team The Amazon Robotics (AR) Technology Enablement Services (TES) Team enables ARs people, purpose, and place to deliver the future. We remove barriers, drive organizational productivity, and foster growth. We serve AR leadership, product customers, and employees, and collaborate with teams throughout FTR. Creating a safe, inclusive, and productive workplace experience. Designing and iterating on learning, development, and engagement solutions to support needs of operators and employees. Synthesizing and articulating ARs long-term strategy, near-term goals, product roadmaps, and workforce strategy. Developing and managing cross organizational mechanisms, reporting, programs, and Sustainability efforts. Basic Qualifications - Experience in automating, deploying, and supporting infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix - 1+ years of supply chain experience - Proven ability to integrate, configure, and customize Kinaxis Maestro across various supply chain planning functions Preferred Qualifications - Experience with CI/CD pipelines build processes - Kinaxis Maestro/RapidResponse certifications (Author, Administrator, Integrator, Analytics) - End-to-End Kinaxis Maestro/RapidResponse implementation projects and experience in Kinaxis Maestro/RapidResponse Application Maintenance Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at. USA, MA, N.Reading - 99,100.00 - 160,000.00 USD annually USA, TX, Austin - 99,100.00 - 160,000.00 USD annually

We're seeking a Systems Development Engineer to join Amazon Robotics and Tech Deployment Systems Integration team, focusing on developing sophisticated cloud-native software solutions for commissioning and testing our robotic systems. You'll be part of a team that ensures the commissioning and deployment processes of our robotics solutions through advanced software development, cloud architecture, testing, and deployment processes, including both AWS-based backend systems and user interfaces for testing tools. Key job responsibilities As a Systems Development Engineer at Amazon Robotics, you will be instrumental in developing and maintaining critical cloud-based software solutions for our robotics commissioning and testing infrastructure. Your primary focus will be designing and implementing robust, scalable applications that power our robotics testing tools, leveraging AWS services for maximum efficiency and reliability. You will be responsible for developing sophisticated automated testing frameworks, cloud-native continuous integration pipelines, and intuitive user interfaces that ensure the reliability and usability of our robotic systems. In this role, you'll implement efficient cloud-based solutions for real-time robotics control and data processing, working at the intersection of software and hardware to create seamless interfaces between various system components. A significant part of your role will involve developing AWS-powered tools for data analysis, visualization, and performance monitoring, enabling our teams to optimize robotic system performance and identify potential improvements. You'll create user-friendly interfaces that allow operators to effectively monitor and control testing procedures while ensuring secure and efficient cloud integration. Collaboration will be key as you work with cross-functional teams to integrate software components into larger robotics ecosystems. You'll participate in code reviews, contribute to cloud architecture discussions, and continuously optimize existing software for improved performance, reliability, and scalability. Your work will directly impact the efficiency and effectiveness of our robotics deployment processes, making you a crucial part of Amazon's automation innovation efforts. A day in the life As a Systems Development Engineer at Amazon Robotics, your typical day is dynamic and multifaceted: - Morning: Begin by monitoring system performance, participate in team stand-ups, develop new features for commissioning dashboards using React, and optimize AWS Lambda functions. - Afternoon: Engage in architecture review meetings, troubleshoot issues, implement automated test scenarios, collaborate on UX improvements, and participate in code reviews. - Throughout the week: Participate in agile ceremonies, liaise with robotics engineers, and attend technical learning sessions. Your role uniquely combines cloud infrastructure expertise with robotics systems knowledge. You'll have a direct impact on Amazon's automation efficiency, balancing independent work with cross-functional collaboration. This position offers the exciting opportunity to innovate in both software architecture and user experience while working with robotics technology. A typical week involves developing cloud-based testing tools, optimizing AWS infrastructure, improving testing interfaces, collaborating on new requirements, and contributing to continuous improvement initiatives. This role is ideal for those passionate about cloud technologies, software development, and robotics, offering a perfect blend of technical challenges and impactful outcomes. Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If youre passionate about this role and want to make an impact on a global scale, please apply! About the team We are a dynamic group of engineers who build the foundation for deploying and validating robotic solutions across Amazon's global robotics fields. We are a collaborative team of full-stack developers and automation specialists working at the intersection of cloud computing and robotics. What Makes Our Team Special: - We're a fast-moving team that directly impacts Amazon's robotics deployment worldwide - We combine software expertise with robotics knowledge to solve complex automation challenges - Our work spans from cloud architecture to user interface design, offering broad technical exposure - We maintain a culture of innovation where new ideas are welcomed and implemented quickly Our Culture: - Strong emphasis on mentorship and professional growth - Regular knowledge-sharing sessions and technical deep-dives - Balance of autonomous work and pair programming - Data-driven decision making - Commitment to operational excellence - Open environment that values diverse perspectives Team Structure: - Mix of senior and junior software development engineers - Mix of senior and junior system development engineers - Technical product managers Growth Opportunities: - Mentorship from experienced engineers - Regular training and certification opportunities - Career development paths in both technical and leadership tracks Join us if you're passionate about: - Building innovative solutions that scale globally - Working with robotics technologies - Contributing to the future of automation - Solving complex technical challenges - Being part of a collaborative and supportive team Basic Qualifications - Experience in automating, deploying, and supporting infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix - Experience in one or more relevant front-end frameworks such as React, Angular, etc. - Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS Preferred Qualifications - Experience with CI/CD pipelines build processes Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at. USA, MA, N.Reading - 99,100.00 - 160,000.00 USD annually USA, WA, Seattle - 99,100.00 - 160,000.00 USD annually

Leidos has numerous opportunities for DevOps Engineers within our Intelligence Sector's, Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. Leidos is seeking highly experienced DevOps Engineers to support the development and evolution of a Kubernetes-native platform used to orchestrate and deploy workloads within its own cluster. This role combines backend architecture, and cloud-native technologies, requiring deep technical expertise and cross-team collaboration. Own and advance a Kubernetes-native workload orchestration application. Implement cloud-native components leveraging Go, TypeScript, and Python. Improve platform observability and event-driven system performance. Level of opportunity, including compensation, will be matched to a candidate's experience Bachelor's Degree in Computer Science or related discipline from an accredited college or university. Four (4) years of additional experience may be substituted for a bachelor's degree. Level 0 - Bachelors and 2-7 years of experience Level 1 - Bachelors and 7-14 years of experience Level 2 - Bachelors and 14-20 years of experience Level 3 - Bachelors and 20 or more years of experience Expertise in infrastructure provisioning, Ansible CM, and cloud-native ecosystems. Proficiency with at least one of the following languages Go (Golang), TypeScript, or Python, Strong experience with Kubernetes Familiarity with CI/CD pipelines and Git workflows. Preferred Qualifications: Familiarity with Atlassian tools (Jira, Bamboo, Fisheye) and Agile/CI workflows. Experience with Linux/UNIX administration and SIGINT dataflows. Infrastructure automation using cloud-init or Terraform. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $17.2 billion for the fiscal year ended January 2, 2026. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.Commitment and Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Position Summary Role and Responsibilities MULTIPLE POSITIONS AVAILABLE Company : SAMSUNG ELECTRONICS AMERICA, INC. Position Title : Engineer III, Software Process Engineering Location : Playa Vista, CA Job ID : SAM9551514 Position Responsibilities : Provide technical leadership to help architect solutions for upcoming media streaming projects. Architect, code, and deploy modules to existing AWS backend for TV Plus. Implement backend service components, tasks, and architecture to support TV Plus server-side ad insertion, linearization, ad markers, session management, etc. Work in an agile, task-based environment to conduct engineering activities, projects, research, and/or operational tests in conformance to functional specifications, design requirements, operational capacities, and customer performance expectations. Debug production issues raised by customers and customer support teams, isolate the cause, and work towards a fix. Participate in meetings with other engineering staff and stakeholders to work towards ideal solutions and develop a deep understanding of requirements to help break them down into engineering tasks. Perform as a technical mentor and individual contributor of a small, distributed team of software engineers in an ever-changing corporate environment. Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results. Position Requirements : Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, or a related field and ten years of progressive post-baccalaureate experience in the job offered or another related occupation. Must have eight years of experience in the following skill: (1) developing highly scaled production systems (thousands of concurrent requests), including the ability to troubleshoot and debug those systems. Must have five years of experience in the following skills: (2) mentoring and training junior developers; and (3) implementing production systems in AWS infrastructure including EC2, EKS, or S3. Must have three years of experience in the following skill: (4) programming with Golang including high competency in concurrency features including channels, atomic objects, and mutexes; and (5) experience completing comprehensive code reviews in Golang including high competency in concurrency features including channels, atomic objects, and mutexes. Partial telecommuting permitted; employees will be required to report to office multiple days per week. Hours: Full Time, 40 hours/week. Salary Range: $184,558/ year to $185,000/ year #LI-DNI Skills and Qualifications \* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. \* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA\_Accommodations\_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

Work hard. Have fun. Make history. Our overall mission is simple: we want Amazon to be the place where our customers can find, discover, and buy anything online. Whatever our customers want, we will find the means to deliver it. As a result of continued growth, our Technology Deployment - Systems Integration team is now searching for an innovative and solutions-oriented Systems Development Engineer to be a part of our global initiative of developing and delivering the next generation of world-class fulfillment systems through the use of advanced technology. Successful candidates are natural self-starters who have prior engineering experience in the integrated automation project life cycle, including design, development, implementation, enhancement, and support. System Development Engineers (SysDEs) will be part of a new product/technology development cycle and responsible for successful delivery of equipment for further testing and evaluation. You will serve as a liaison between Fulfillment Center Operations (our customer) and product development engineers. This role will require the ability to build relationships across a cross-functional team and capture and synthesize the voice of the customer. Your primary goal is to own the development and improvement of the deployment process, validating and testing processes through lab and field activities. You will integrate, deploy, and troubleshoot solutions for new advanced technology systems, iterating and providing feedback to internal and external partners with each opportunity. As an Amazonian you are able guide the implementation and delivery of complex system designs and advanced technology in ambiguous and complex problem spaces. You integrate systems for safety, security, stability, and efficiency. You participate in the full system development life cycle, working within broadly defined parameters, including test plan execution and solution quality needs. You must be responsive, flexible, and able to succeed within an open collaborative environment. Amazons culture encourages innovation and expects engineers to take a high-level of ownership in solving complex problems. Come help us make history! Key job responsibilities The following roles and responsibilities are required for a successful Systems Development Engineer: - Support the installation of complex cross-functional projects with considerable impact. Projects may span organizations or geographies in support of business goals. - Work with internal and external engineering teams to successfully deliver cross-functional projects that are of a high-quality (e.g., on-time, on-budget, maintainable, low-defects, etc.). - Contribute to project priorities, establishing milestones, and driving schedules to meet a deadline. Establish, capture and present KPI metrics to evaluate success and failure of project. - Responsible to deep dive technical solutions that encompass advanced technology applications, conveyor hardware selection, material handling integration, and commissioning content and expectations. - Participate in design reviews and support execution efforts between internal teams and outside vendors including equipment specifications, material flow, process design, and site layout. - Communicate project status, effectively answer project questions in detail, and regularly produce clear and concise summaries for the projects you own to your program management team. - Capture and synthesize the Voice of Customer (VoC) for all new product introductions and leverage this information to prioritize system defects and influence the triage efforts with Product Development teams applying lessons learned to enable acceleration and deployment scale. - Build strong working relationships with Fulfillment Center/Sort Center managementand their operations teams across multiple sites as well as their Facilities, Finance, Safety, Process Engineers, and other business stakeholders. - Identify process improvement initiatives in support of operations, deployment, or engineering teams within a geographic node. - Develop cross-functional knowledge of Operations and Engineering team systems, processes, procedures, and tools. - Collaborate with internal teams and external vendors to generate high-quality, cost-effective solutions with quick turnaround. - Travel up to 75% throughout North America, which can vary based on peak seasons. A day in the life Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If youre passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications - Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related fields - Experience in Unix, or experience scripting in one or more language (e.g. Bash, Python, Perl, Ruby) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - Experience leading the design, automation, deployment, and support of large-scale infrastructure - Experience working with the designs of complex automated material, handling equipment, packaging technologies, and systems including robotics and high-speed manufacturing - Experience in the application of network design, including knowledge of major routing protocols, topology design, network hardware, device configuration, and traffic engineering - Experience using Lean Process Improvement, Six Sigma methodologies or related performance metrics/process improvements to increase efficiency within processes, forecasting, planning, optimization, and logistics - 3+ years of motor controls (motor starts, variable frequency drives, DC drives, and standard electrical components) experience - 3+ years' control system experience including PLC/IPC based controls design, development, implementation, testing, and support; E.g. Allen Bradley, Siemens and CODESYS systems. - Experience creating technical documentation such as flow diagrams, conveyor and equipment layouts, installation details, work instructions. - Demonstrated understanding of life-cycle embedded systems development including hardware (circuit and logic designs, PLCs), software (embedded operating systems and programming), testing and implementation. - Experience in testing and implementing software (embedded operating systems and programming). Preferred Qualifications - Master's degree in electrical engineering, computer science, mathematics or physics - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems, or experience building complex software systems that have been successfully delivered to customers - 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 4+ years of non-internship professional software development experience - Experience with version control systems and CI/CD pipeline implementation - Experience working in an Agile or Scrum environment - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects - Experience developing web-based applications using AWS services (e.g., Kinesis, DynamoDB, Lambda, AppSync, Step Functions) or alternative cloud-based services. - Demonstrated design and/or implementation experience with integrated automation solutions, such as material handling systems, high-speed packaging lines, or manufacturing lines. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at. USA, MA, N.Reading - 129,200.00 - 174,800.00 USD annually USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, were the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and were looking for talented people who want to help. Youll join a diverse team of software, hardware, electrical and mechanical engineers, as well as supply chain specialists, security experts, operations managers, and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you interested in developing solutions that have big impact? Are you someone who likes to challenge the status quo and work on developing innovative product solutions? If you are a software engineer and looking for an exciting career in cloud infrastructure, come join a team that constantly seeks ways to build things better & faster for our customers. AWS is looking for a System Development Engineer to become part of a global Data Center Engineering team, responsible for the design, development, automation, and continuous innovation within our rapidly expanding and evolving data center footprint. Our Controls Products & Services team takes full product ownership to design, develop, and deliver electrical and mechanical controls systems that programmatically scale compute capacity. As engineers at Amazon, we are responsible for achieving a world-class uptime for our customers. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you have the ability to drive change and make a substantial impact in the systems our customers rely on. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. We work within a team and depend on others to accomplish the required work. As a system development engineer at Amazon you will be working with cross-functional groups throughout the global Data Center Engineering organization. If you are a creative, smart and driven individual that enjoys working with complex problems we want you! Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. Key job responsibilities Work in a cross-disciplinary setting with ability to influence and drive others. Work has deep and far reaching impact on overall product design/solutions Advises peer engineers and management team. Make technical trade-offs between short-term project goals and long-term business needs. Develop common libraries and reusable modular components to accelerate build cycles. Simplify, optimize, and accelerate the software development cycle for data center controls products. Leverage economy of scale through standardization and modularization of data center controls products. Provide technical subject matter expertise to peers, senior management, and partner teams. Develop business justification and narratives to promote new concepts and ideas. Lead key initiatives for the organization while demonstrating complete ownership. Work with global partners to deliver electrical and mechanical controls products. About the team Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud. Inclusive Team Culture Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - 2+ years of non-internship professional software development experience - 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Knowledge of systems engineering fundamentals (networking, storage, operating systems) - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Preferred Qualifications - Experience working in an Agile environment using the Scrum methodology Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at. USA, OH, COLUMBUS - 129,200.00 - 174,800.00 USD annually USA, TX, Austin - 129,200.00 - 174,800.00 USD annually USA, VA, Herndon - 129,200.00 - 174,800.00 USD annually USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually