Description

The Leidos Digital Modernization Group seeks a Data Engineering Specialist to support the Global Management System (GMS) Team for the Global Solutions Management – Operations II (GSM-O II) contract. This contract includes the Operations, Sustainment, Maintenance, Repair and Defense of the Defense Information System Network (DISN) within the DOD Information Network (DODIN) in support of the Defense Information Systems Agency (DISA). It also includes support for other key tasks for DISA, including the transformation of DISA’s operational mission through innovation, and support to DISA’s mission partners.

The candidate must be within commuting distance of Scott AFB or Ft. Meade. At a minimum, a Secret clearance and Security + certification (or other applicable DoD 8570 IAT II certification) upon the start of employment.

The candidate will support data engineering activities, contributing to the integration and enrichment of DISN network topology data to enable advanced data correlation and analytics. They will assist in designing and implementing data enrichment pipelines, integrating multiple data sources into Confluent (Kafka) and Elastic platforms, and help maintain Kafka and Elastic clusters to support mission-critical operations. The candidate will contribute to platform sustainment and reliability by addressing operational challenges and supporting the automation of the software development lifecycle, including CI/CD pipeline development, containerization, and automated testing, while following DevOps best practices. The role involves active participation in Agile scrum teams, collaborating with team members, and sharing knowledge to support team growth. Additionally, the candidate will help develop and maintain technical documentation, ensuring solutions align with DoD security standards and compliance requirements.

As a GMS team member, you will work as part of a fast paced, Agile development and implementation team to architect, design and develop an integrated solution that expands the foundational Integrated Data Architecture platform (Confluent and ELK platform). You will work alongside others in a matrixed organization across the project.

Primary Responsibilities:

• Contribute to data engineering efforts by supporting the integration and enrichment of DISN network topology data for advanced data correlation and analytics.
• Participate in technical discussions with internal and external stakeholders to support solution design and implementation.
• Develop, test, and deploy data pipelines and integration solutions across distributed systems and cloud environments, using Python, JavaScript, Java, and SQL.
• Assist in requirements gathering and collaborate with stakeholders to design and implement data enrichment pipelines, integrating diverse data sources into Confluent (Kafka) and Elastic platforms.
• Develop and maintain Kibana visualizations and dashboards to support operational insights.
• Support Kafka system integrations between Elasticsearch/Logstash and other systems.
• Collaborate within Agile scrum teams, contribute to team deliverables, and share knowledge with peers.
• Communicate and coordinate effectively with geographically distributed team members to achieve project objectives.
• Troubleshoot and help resolve installation, infrastructure, and system issues; report and help mitigate technical risks.
• Develop and maintain technical documentation, including DoD requirements, interface documents, and security compliance artifacts.
• Ensure solutions comply with DoD security standards and guidelines, and support platform sustainment and reliability by addressing operational challenges as needed

Basic Qualifications:

• Bachelor’s degree from an accredited college in a related discipline, or equivalent experience/combined education, with 4–8 years of professional experience; or 2–6 years of professional experience with a related master’s degree.
• 4+ years of experience in software engineering, data engineering, or business/data analysis, preferably within Agile/Scrum teams.
• Hands-on software development experience with Python, Java, SQL, and working knowledge of JavaScript and HTML.
• Experience with distributed version control systems such as Git and Bitbucket.
• Proficiency with data analytics and visualization tools, such as Kibana, Power BI, Tableau, and the ELK stack (Elasticsearch, Logstash, Kibana).
• Experience designing, developing, and optimizing ETL processes and data pipelines, including integration with event streaming platforms like Kafka.
• Background in data modeling, unification, and analytics to support data-driven projects.
• Experience implementing application and system integrations, including Kafka and Elastic platform integrations.
• Understanding of networking and internet protocols, with experience supporting network-centric or data-driven environments.
• Experience developing and deploying software on UNIX/Linux command line platforms.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Experience with Agile project management and collaboration tools such as JIRA and Confluence.
• Active Secret DoD Security clearance prior to start date.
• Active Security+ Certification (or other applicable DoD 8570 IAT II certification) prior to start date.

Preferred Qualifications:

• Experience with CI/CD techniques, containerized pipelines, and DevOps practices, including automating software delivery processes.
• Familiarity with artificial intelligence and machine learning concepts, and interest in supporting the integration of AI/ML capabilities into data platforms.
• Experience with data integration, storage, and analysis technologies such as Kafka, Elastic, Spark, or NiFi.
• Hands-on experience with Kafka connector integrations and working knowledge of ksqlDB and Kafka Streams for real-time data processing.
• Ability to develop software designs for streaming data applications, particularly using Kafka Streams or ksqlDB.
• Experience developing and optimizing Kafka system integrations between Elasticsearch/Logstash and other systems.
• Experience designing and implementing application deployment pipelines and developing software in containerized environments using Kubernetes and Docker.
• Familiarity with Kubernetes deployment, Agile methodologies, and collaborative development tools.
• Experience developing and deploying software in AWS cloud environments, including basic configuration of cloud infrastructure, networking, and security policies (GovCloud experience a plus).
• Experience with full software lifecycle automation (design, development, testing, deployment), including production deployments.
• Experience designing and building automated software testing pipelines using tools such as Ansible, Selenium, JMeter, Junit, or similar.
• Experience developing and deploying software in DoD environments (DISA experience a plus), including building applications that meet DoD security standards and implementing security guidelines (e.g., STIGs).
• Ability to support the development of DoD requirements, traceability matrices, project plans/schedules, and contribute to software systems engineering documents and interface documents (IDDs/ICDs).
• Experience with Agile methodologies and Atlassian tools, including JIRA and Confluence, for project tracking and collaboration.
• Ability to work effectively in remote, geographically dispersed teams, demonstrating strong communication and collaboration skills.

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:

April 21, 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 $87,100.00 - $157,450.00

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.

About 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 $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

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 at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

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.

#Remote

Description

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

The Mission Driver Enablement Center (MDEC) is seeking a Senior Salesforce Developer / Technical Lead to drive the design and delivery of advanced, integrated customer engagement solutions for Federal agencies. This role combines hands-on development with technical leadership, focusing on architecting and implementing scalable Salesforce solutions integrated with Amazon Connect, AI-driven capabilities, and third-party government systems.

The ideal candidate brings deep expertise in Salesforce architecture, cloud contact center integrations, and secure solution delivery within regulated government environments. This individual will serve as a technical leader across projects, guiding design decisions, mentoring developers, and ensuring high-quality, scalable implementations.

Job Responsibilities:

• Lead the design, architecture, and implementation of Salesforce-based contact center solutions, from prototyping through enterprise-scale production deployments
• Architect and oversee integrations between Salesforce and Amazon Connect (or similar cloud IVR/ACD platforms), including real-time data exchange, screen-pop functionality, and omnichannel routing
• Define technical solutions and integration patterns across Salesforce, AI platforms, and external agency systems
• Provide technical leadership to development teams, including code reviews, design reviews, and mentoring junior and mid-level developers
• Collaborate with stakeholders to translate business needs into scalable technical solutions and lead solutioning discussions with clients
• Establish and enforce Salesforce development best practices, coding standards, and DevSecOps processes
• Ensure all solutions meet Federal security and compliance requirements (e.g., FedRAMP, ATO)
• Oversee full lifecycle delivery, including architecture, development, testing, deployment, and sustainment
• Support proposal efforts, technical solutioning, and estimation for new work as needed
• Lead knowledge transfer and provide strategic guidance to client teams for long-term system success

Required Education & Experience:

• Bachelor’s degree in IT or related field and a minimum of 8 years of relevant experience or or Masters with a minimum 6 of relevant experience, progressive experience in Salesforce development and architecture, including Federal program experience
• Proven experience designing and delivering solutions in Salesforce Government Cloud environments
• Strong experience integrating Salesforce with Amazon Connect cloud-based contact center platforms (required)
• U.S. Citizenship required
• Ability to obtain and maintain a Public Trust clearance
• Required Certifications:
• Salesforce Certified Platform Developer I
• Salesforce Certified Platform Administrator
• At least two advanced certifications (e.g., Platform Developer II, Application Architect, System Architect)

Required Technical Skills:

• Strong experience with Omni-Channel routing, screen pops, and real-time CRM/contact center integrations
• Deep expertise in Salesforce platform development: Apex, Lightning Components, Experience Cloud, and APIs
• Experience designing scalable integration architectures using REST/SOAP APIs and middleware tools (e.g., MuleSoft or equivalent)
• Experience with Einstein / Agentforce capabilities and AI-driven customer engagement solutions
• Strong understanding of identity and security architecture, including SSO, MFA, encryption, and secure integration patterns
• Proficiency in modern web technologies (JavaScript, HTML5, CSS)
• Experience with Salesforce declarative tools (Flow, Lightning App Builder) and governance of hybrid declarative/programmatic solutions
• Experience leading development in Agile environments (Scrum, SAFe, Kanban) and guiding teams in Agile best practices
• Strong communication skills and ability to interface with technical and executive stakeholders

Additional Requirements:

• Exceptional communication skills with the ability to articulate complex technical concepts to leadership and translate business requirements into technical solutions.
• Proven leadership experience in managing and mentoring high-performing technical teams.
• Demonstrated success in delivering multiple concurrent, large-scale Salesforce implementations in government or defense sectors.

Desired Experience:

• Salesforce Architect-level certifications (Application Architect, System Architect, or CTA track progress)
• Implementations of additional contact center technology (CXone, Genesys, etc.) and additional contact center focused conversational AI, virtual agents, agent assists, etc.
• Experience with Salesforce Health Cloud or Data Cloud
• Experience with AWS GovCloud or Azure Government
• Experience with enterprise analytics platforms (Tableau, Power BI, SAS)
• Experience leading multi-system integration efforts across large Federal programs
• Familiarity with additional low-code/no-code platforms and modern cloud-native architectures.

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:

April 6, 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 $107,900.00 - $195,050.00

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.

About 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 $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

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 at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

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.

#Remote

Description

Leidos is seeking an experienced Linux Systems Engineer to provide support to a mission critical enterprise identity and access management system. A successful candidate will develop an understanding of the services offered to external organizations, provide lifecycle systems engineering support to development and operations on the program, and use a combination of technical and functional expertise to recommend solutions to satisfy customer requirements.

Primary Responsibilities

• Design, develop, and support cloud initiatives to support customer driven needs
• Communicate and mitigate operational issues as received. Work to proactively identify RCA of baseline issues and establish a feedback loop to development.
• Work as a SME to review user metrics, system health, overall performance checkouts and implements proactive measures to support operational availability
• Responsible for deployment support as a product SME. Provide backfill tasking and troubleshooting script/playbook based automation processes as necessary.
• Manage several environments as a Linux SME providing overall support to the program and working with Enterprise Services to ensure compliance with security services and applications.

Basic Qualifications

• Bachelor’s Degree in Computer Science or related discipline plus 4-6 years of professional experience as a Systems Administrator or similar technical role.
• Proactive self-starter demonstrating a positive, willing attitude and excellent oral and written communication skills.
• Two or more years of experience with Amazon Web Services (S3 Buckets, EC2, Reserved Instances, etc.)
• Familiar with System Engineering documentation creation (network diagrams, data flows, etc.)
• Experience working with Agile Team Collaboration tools  such as (Jira, Confluence, BitBucket)
• Strong Linux background and familiarity with best practices of infrastructure management
• Active TS/SCI with CI Poly preferred

Preferred Qualifications

• Oracle COTS product experience (Oracle Access Manager, Oracle Unified Directory, etc.)
• Experience with Kubernetes
• Experience with Elastic tools (ElasticSearch, Kibana, Logstash)
• Experience with AWS and other cloud vendors.
• Experience with Amazon Web Services technical performance versus cost management
• Experience with cloud-based architectures
• Familiar with cross domain architectures at various levels
• Experience with automated testing and monitoring
• Experience with Engineering Review Boards and Change Management

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:

April 16, 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 $73,450.00 - $132,775.00

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.

About 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 $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

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 at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

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.

General information

Job Posting Title

DevOps / Release Management Engineer

Date

Friday, April 24, 2026

City

Remote

Country

United States

Working time

Full-time

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

• Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems

• Automates build, test, release, and deployment activities across development and operational environments

• Maintains system reliability, scalability, performance, and availability

• Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration

• Supports software release management, version control, and change management activities

• Troubleshoots issues across development, test, and production environments

• Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery

• Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements

• Supports documentation, integration, testing, and accreditation activities

• Participates in Agile program increment (PI) planning and activities requiring periodic travels

Minimum Requirements:

• Active Secret clearance required. An Active TS/SCI is highly preferred.

• Bachelor’s degree in related field required.

• 5 years of experience in DevOps, software development, or system administration

• 3 years managing cloud services (AWS, Azure, or Google Cloud)

• 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI)

• 3 years collaborating with development, QA, and operations teams

• 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible)

• 3 years troubleshooting development, test, and production environments

• Practical experience supporting release management and deployment processes

Preferred Skills and Qualifications:

• AWS Certified DevOps Engineer certification

• Kubernetes Administrator certification

• Azure DevOps Engineer / Solution Expert certification

• Experience supporting DoD DevSecOps environments

• Experience supporting RMF accreditation and secure system deployments

#techjobs #clearance #veteranspage #USCYBERCOM

Minimum Requirements

TCS087, T3, Band 6

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate’s education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus’s total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant’s salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

115,000.00

Maximum Salary

$

150,000.00

General information

Job Posting Title

DevOps / Release Management Engineer

Date

Friday, April 24, 2026

City

Remote

Country

United States

Working time

Full-time

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS087, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

• Designs, implements, and maintains DevSecOps pipelines supporting cloud-hosted mission systems

• Automates build, test, release, and deployment activities across development and operational environments

• Maintains system reliability, scalability, performance, and availability

• Implements Infrastructure as Code (IaC) solutions for environment provisioning and configuration

• Supports software release management, version control, and change management activities

• Troubleshoots issues across development, test, and production environments

• Collaborates with developers, QA, cybersecurity, and operations teams to streamline delivery

• Ensures solutions comply with DoD cybersecurity, RMF, and secure configuration requirements

• Supports documentation, integration, testing, and accreditation activities

• Participates in Agile program increment (PI) planning and activities requiring periodic travels

Minimum Requirements:

- Active Secret clearance or above required. Active TS/SCI highly preferred.

• Bachelor’s degree in related field required.

• 5 years of experience in DevOps, software development, or system administration

• 3 years managing cloud services (AWS, Azure, or Google Cloud)

• 3 years developing and automating CI/CD pipelines (Jenkins, GitLab CI)

• 3 years collaborating with development, QA, and operations teams

• 3 years implementing Infrastructure as Code (Terraform, CloudFormation, or Ansible)

• 3 years troubleshooting development, test, and production environments

• Practical experience supporting release management and deployment processes

Preferred Skills and Qualifications:

• AWS Certified DevOps Engineer certification

• Kubernetes Administrator certification

• Azure DevOps Engineer / Solution Expert certification

• Experience supporting DoD DevSecOps environments

• Experience supporting RMF accreditation and secure system deployments

#techjobs #clearance #veteranspage #USCYBERCOM

Minimum Requirements

TCS087, T3, Band 6

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate’s education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus’s total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant’s salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

115,000.00

Maximum Salary

$

150,000.00

General information

Job Posting Title

Back End Developer – Mid-level

Date

Thursday, April 23, 2026

City

Remote

Country

United States

Working time

Full-time

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This role is remote and requires an active Secret clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS196, T4, Band 7

Job-Specific Essential Duties and Responsibilities:

• Provides subject matter proficiency supporting back-end software development activities.
• Applies analytical skills supporting process improvement, specialized studies, and requirements definition.
• Performs analysis, planning, and development of requirements documents and functional models.
• Designs and develops back-end architectures supporting system capabilities and integrations.
• Develops and modifies RESTful APIs supporting application functionality.
• Performs database management, data modeling, and optimization.
• Supports testing and validation to verify system operability and compliance.
• Participates in Agile program increment (PI) planning and activities requiring periodic travels.

Job-Specific Minimum Requirements:

• Active Secret clearance or above required. Active TS/SCI highly preferred.
• Bachelor’s degree in related field required.
• A Master’s degree may substitute for 2 years of experience.
• 7 years of software development experience in object-oriented and scripted languages with the ability to apply several tool suites related to DevSecOps, microservices and containers.
• 3 years of experience with bug tracking software (Jira).
• 3 years of experience testing web-based applications.
• 3 years of experience participating in software development programs or projects.
• 3 years of experience performing back-end web design and development.
• 3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.
• 5 years of experience with Jenkins and GitLab.
• 5 years of experience with at least five (5) of the following:

• Postgres
• RDS
• Exodus
• Python
• Luna
• Java
• Docker
• OpenJDK
• Ansible
• Packer
• Maven
• Kubernetes
• Red Hat

• Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.
• Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.
• Practical experience developing in a cloud environment.
• Experience with integrating data from unclassified to classified application deployments.

Preferred Skills and Qualifications:

• Experience using Agile Test-Driven development.
• Experience integrating into DoW DevSecOps environments.
• 5 years of experience with CI/CD software development.
• Demonstrated experience in utilizing UX design tool suites (e.g., Sketch, InVision).
• Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

#techjobs #clearance #veteransPage #USCYBERCOM

Minimum Requirements

TCS196, T4, Band 7

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate’s education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus’s total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant’s salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

100,000.00

Maximum Salary

$

130,000.00

General information

Job Posting Title

Back End Developer – Mid-level

Date

Thursday, April 23, 2026

City

Remote

Country

United States

Working time

Full-time

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This role is remote and requires an active Secret clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS196, T4, Band 7

Job-Specific Essential Duties and Responsibilities:

• Provides subject matter proficiency supporting back-end software development activities.
• Applies analytical skills supporting process improvement, specialized studies, and requirements definition.
• Performs analysis, planning, and development of requirements documents and functional models.
• Designs and develops back-end architectures supporting system capabilities and integrations.
• Develops and modifies RESTful APIs supporting application functionality.
• Performs database management, data modeling, and optimization.
• Supports testing and validation to verify system operability and compliance.
• Participates in Agile program increment (PI) planning and activities requiring periodic travels.

Job-Specific Minimum Requirements:

• Active Secret clearance or above required. Active TS/SCI highly preferred.
• Bachelor’s degree in related field required.
• A Master’s degree may substitute for 2 years of experience.
• 7 years of software development experience in object-oriented and scripted languages with the ability to apply several tool suites related to DevSecOps, microservices and containers.
• 3 years of experience with bug tracking software (Jira).
• 3 years of experience testing web-based applications.
• 3 years of experience participating in software development programs or projects.
• 3 years of experience performing back-end web design and development.
• 3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.
• 5 years of experience with Jenkins and GitLab.
• 5 years of experience with at least five (5) of the following:

• Postgres
• RDS
• Exodus
• Python
• Luna
• Java
• Docker
• OpenJDK
• Ansible
• Packer
• Maven
• Kubernetes
• Red Hat

• Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.
• Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.
• Practical experience developing in a cloud environment.
• Experience with integrating data from unclassified to classified application deployments.

Preferred Skills and Qualifications:

• Experience using Agile Test-Driven development.
• Experience integrating into DoW DevSecOps environments.
• 5 years of experience with CI/CD software development.
• Demonstrated experience in utilizing UX design tool suites (e.g., Sketch, InVision).
• Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

#techjobs #clearance #veteransPage #USCYBERCOM

Minimum Requirements

TCS196, T4, Band 7

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate’s education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus’s total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant’s salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process—including accessing job postings, completing assessments, or participating in interviews,—please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

100,000.00

Maximum Salary

$

130,000.00

Mistras Group, Inc. is seeking a Report writer in the NDT field (Non-Destructive Testing) is a professional who reviews inspection data from NDT technicians and prepares detailed technical reports documenting the results of those inspections. The role focuses on accurate documentation, compliance, and communication of inspection findings rather than performing the physical testing itself.
Key Responsibilities:

• Reviews NDT inspection data from technicians (UT, RT, MT, PT, etc.)
• Compiles inspection reports for clients, engineers, and regulatory bodies
• Documents defects, measurements, and findings
• Ensures reports meet industry codes and standards
• Organizes photos, scans, and test results
• Maintains inspection records and databases
• Works closely with NDT technicians, inspectors, and project managers

Minimum Requirements:

• Strong technical writing
• Knowledge of inspection codes and standards (ASME, API, AWS)
• Familiarity with NDT methods
• Attention to detail
• Experience with inspection software and databases
• Ability to interpret technician notes and inspection data

MISTRAS full-time positions offer competitive wages and benefits that include: health, dental, vision and 401(k).

Mistras Group, Inc. is an Equal Opportunity Employer.

MANTECH seeks a highly motivated and collaborative Software Engineer to join our team in Columbia , MD. In this role, you will develop, maintain, and enhance complex and diverse software systems based upon documented requirements. Work individually or as part of a team. Review and test software components for adherence to the design requirements and document test results. Resolve software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provide specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components. Responsibilities include, but are not limited to: Design, code, and modify software to add features, implement high-performance algorithms, and integrate applications into diverse operating environments. Design and implement complex data interfaces and execute queries for existing or proposed repositories to ensure data accessibility and system functionality. Analyze work processes and system performance to develop technical solutions and provide recommendations for improving development standards. Write and review technical documentation while assisting in the development and execution of comprehensive software test procedures. Regularly collaborate with team members, management, and customers through clear and effective communication, including delivering professional presentations and ensuring the accurate exchange of critical information Minimum Qualifications: ~20 years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required. ~ Bachelor’s degree in computer science or related discipline from an accredited college or university is required. 4 years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree. ~1 Required certification: CompTIA Security+ CE, CCNA-Security, CySA+, GICSP, GSEC, CND, or SSCP ~ Hands-on experience operating or platform engineering production-grade Kubernetes clusters ~ Understanding of containerization concepts and operations, i.e. pod security standards ~ Working knowledge of PKI certificates and PKI management ~ Experience with GitOps development and CI/CD pipelines ~ Basic Linux administration ~ Experience with Python and Bash scripting ~ Experience with Jira/Confluence for project, tasks and documentation management Preferred Qualifications: Understanding of VMware vSphere vCenter, vSphere API and related services Understanding of Amazon AWS EC2, EC2 API and related services Understanding of advanced Kubernetes performance tuning and troubleshooting for services DevOps skills in Go, Ansible and Terraform (IaC) Clearance Requirements: ~ Must have a current/active TS/SCI with Polygraph Physical Requirements: Must be able to remain in a stationary position 50% of the time Occasionally moves about inside the office to access file cabinets, office machinery, etc.

MANTECH seeks a highly motivated and collaborative Software Engineer to join our team in Columbia , MD. In this role, you will develop, maintain, and enhance complex and diverse software systems based upon documented requirements. Work individually or as part of a team. Review and test software components for adherence to the design requirements and document test results. Resolve software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provide specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components. Responsibilities include, but are not limited to: Design, code, and modify software to add features, implement high-performance algorithms, and integrate applications into diverse operating environments. Design and implement complex data interfaces and execute queries for existing or proposed repositories to ensure data accessibility and system functionality. Analyze work processes and system performance to develop technical solutions and provide recommendations for improving development standards. Write and review technical documentation while assisting in the development and execution of comprehensive software test procedures. Regularly collaborate with team members, management, and customers through clear and effective communication, including delivering professional presentations and ensuring the accurate exchange of critical information Minimum Qualifications: ~20 years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required. ~ Bachelor’s degree in computer science or related discipline from an accredited college or university is required. 4 years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree. ~1 Required certification: CompTIA Security+ CE, CCNA-Security, CySA+, GICSP, GSEC, CND, or SSCP ~ Hands-on experience operating or platform engineering production-grade Kubernetes clusters ~ Understanding of containerization concepts and operations, i.e. pod security standards ~ Working knowledge of PKI certificates and PKI management ~ Experience with GitOps development and CI/CD pipelines ~ Basic Linux administration ~ Experience with Python and Bash scripting ~ Experience with Jira/Confluence for project, tasks and documentation management Preferred Qualifications: Understanding of VMware vSphere vCenter, vSphere API and related services Understanding of Amazon AWS EC2, EC2 API and related services Understanding of advanced Kubernetes performance tuning and troubleshooting for services DevOps skills in Go, Ansible and Terraform (IaC) Clearance Requirements: ~ Must have a current/active TS/SCI with Polygraph Physical Requirements: Must be able to remain in a stationary position 50% of the time Occasionally moves about inside the office to access file cabinets, office machinery, etc.

Telework Eligible

Yes

Major Duties

• The incumbent will work within the Defense Logistics Agency , Information Operations (J6), Program Executive Office, Enterprise Advanced Analytics Program , with a primary focus on projects leveraging QLIK and enterprise cloud services.
• Provide comprehensive project management services, managing, controlling, tracking, and reporting on all Business Systems software development and integration projects.
• Provide comprehensive project management services on the development of new QLIK applications from the receipt of the requirement throughout the product’s lifecycle.
• Support EA2 applications to serve DLA’s enterprise analytical community, with a focus on leveraging cloud services and AI/ML capabilities.
• Serves as a Project Manager for Information Technology (IT) software development and integration project teams or program area support teams, responsible for varied Project Management and related services.
• Manage projects utilizing resources assigned in a matrix environment and independent business process areas to design, modify and maintain the applications, components, interfaces and extensions that comprise agency-wide Automated Information System.
• Interprets and clarifies policies, procedures, performance standards and monitoring techniques related to audit readiness, software development or changes, especially as they relate to the QLIK application development lifecycle.
• Applies IT program management approaches, including information assurance, systems engineering, IT systems sustainment approaches, and systems engineering activities, as they relate to program protection, interoperability, and technology.
• Applies IT program management approaches, including emerging IT acquisition strategies, performance measures, quality management, acquisition planning, as they relate to program protection, interoperability, and technology.
• Serves as a Contracting Officer Technical Representative (COTR), providing technical expertise and oversight for contracts related to IT Projects.
• Serves as a Project Manager responsible for leading various Information Technology (IT) software development and integration project teams within the assigned functional program area(s).
• Analyzes system change requests to determine and recommend logical approaches for incremental deliveries, as needed.
• Conducts In Process Reviews (IPR), which are held with J-6 management, Headquarters (HQ) DLA, and supported customers, and notifies HQ DLA sponsors of the requirement for customers/users to participate in functional tests.
• Provides oversight for system engineering, configuration management, and cybersecurity requirements to ensure that the program remains in compliance with Agency policies.
• Provides advice on the impacts, risks and risk mitigation of software development decisions, plans, designs, and specifications.

Qualification Summary

To qualify for an IT Project Manager (APPSW), your resume and supporting documentation must support: A. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-13 level, applicants must possess one year of specialized experience equivalent to the GS-12 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Manage projects using Service Now in accordance with agile scrum principles, including rapid development cycles for IT applications, negotiate and documents project commitments with appropriate organizations and stakeholders to ensure timely execution of deliverables within budget Develops, integrated, and analyzed software development and integration to permit accurate assessments of existing IT capabilities and determines the applicability of evolving technologies and processes, such as AI/ML and cloud services from providers such as AWS, GCP, Azure, system change requests to determine and recommend logical approaches for incremental deliveries Translates general customer requirements into detailed specifications and developing integrated applications, including customer applications (Qlik for example), that automate the customer’s business processes and improve efficiency, particularly for AI/ML and cloud-based solutions Apply systems analysis and development principles and techniques for existing and new application software design concepts and methods to effectively measure software development risk and ensure successful project outcomes, with an emphasis on projects involving AI and cloud infrastructure. Provide input and manage projects across the Google Cloud Platform to include but not limited to the data fabric, Dataplex, Big Query, Vertex, and Looker. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Senior Lead 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 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).

Fully remote Senior Software Engineer for one of my best clients that is redefining cybersecurity & the way companies address it Must have FastAPI, Pydantic & SQLAlchemy!

This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.
Salary: $100,000 - $140,000 per year

A bit about us:

Our esteemed organization is seeking a dynamic, passionate, and experienced Permanent Senior Software Engineer to join our innovative Tech Services team. The ideal candidate will have a strong background in Python Development, PostGreSQL, AWS, SME, Peer Reviews, and Team Lead experience. This role is perfect for someone who thrives in a fast-paced, collaborative environment and enjoys leveraging their technical skills to create sophisticated software solutions. With a primary focus on FastAPI, Pydantic, and SQLAlchemy, the Senior Software Engineer will play a critical role in maintaining and improving our technical infrastructure.

Why join us?

• Competitive Base Salary
• Company paid health plan for employees
• Flexible Hours
• Remote first work environment (Fully remote, no physical office exists)
• Dental and Vision, FSA, HSA
• Small team, autonomy
• Many more great perks!

Job Details

Responsibilities:

1. Design, develop, and implement high-quality software solutions using FastAPI, Pydantic, and SQLAlchemy.
2. Leverage Python development skills to create, maintain, and improve our software applications.
3. Utilize PostGreSQL to manage and manipulate databases to meet business requirements.
4. Work with AWS to manage cloud-based resources and services.
5. Act as a Subject Matter Expert (SME) on software engineering principles and technologies, providing guidance and support to junior team members.
6. Conduct thorough peer reviews to ensure code quality and consistency.
7. Lead a team of software engineers, fostering a collaborative environment while driving the team towards project goals.
8. Collaborate with cross-functional teams to define, design, and ship new features.
9. Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Qualifications:

1. Bachelor’s degree in Computer Science, Software Engineering, or a related field.
2. 5+ years of professional experience in software development, specifically with Python, PostGreSQL, and AWS.
3. Proven experience with FastAPI, Pydantic, and SQLAlchemy.
4. Demonstrated expertise as a Subject Matter Expert (SME) in software development.
5. Extensive experience conducting peer reviews and leading software development teams.
6. Exceptional problem-solving skills with a strong attention to detail.
7. Excellent verbal and written communication skills.
8. Ability to work in a fast-paced, collaborative environment.
9. Strong project management skills with the ability to manage multiple projects simultaneously.
10. Up-to-date with the latest trends and technologies in the industry.

In conclusion, if you have a passion for creating innovative software solutions and want to work in a dynamic, fast-paced environment, we would love to hear from you. Apply now and take the next step in your career as a Permanent Senior Software Engineer in the Tech Services industry.

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.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot’s Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Senior Lead AI Engineer (MLX, Agentic AI, 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 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
San Francisco, CA: $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 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 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:

• 9 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 enterprise AI systems
• Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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
• Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related

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
Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer
New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer
Cambridge, MA: $314,800 - $359,300 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).

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 EngineerMcLean, VA: $197,300 - $225,100 for Lead AI EngineerNew York, NY: $215,200 - $245,600 for Lead AI EngineerSan Francisco, CA: $215,200 - $245,600 for Lead AI EngineerSan 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).

Sr. 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 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).

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Job Overview

The Software Engineer is essential for designing, implementing, and deploying scalable software solutions that meet customer requirements and support high availability environments. The role involves collaborating with engineers to develop software components using technologies such as virtualization, microservices, software-defined networking, network functions virtualization, and big data. It requires independent judgment to resolve technical issues and make recommendations for software design and implementation. Success is measured by the ability to deliver effective software solutions that integrate with system protocols and meet business and technical requirements. The work impacts organizational capabilities by enabling advanced software systems that improve operational efficiency and customer experience.

Job Responsibilities:

• Develop software solutions and conduct tests to drive engineering projects and ensure quality deliverables
• Contribute to design innovations that improve systems, processes, or services using new frameworks and industry best practices
• Collaborate with technical teams to deliver solutions and mentor others through knowledge sharing and training sessions
• Support technology strategy by evaluating and applying current technologies that align with business goals
• Create clear documentation for software code, system designs, and business requirements to support knowledge sharing
• Also responsible for other duties/projects asassigned by business management as needed

Education and Work Experience :

• Bachelor’s Degree plus 3 years of related work experience
  OR advanced degree with 1 year of related work experience
  OR combination of education and experiencedeemedequivalent (Required)
• Acceptable areas of study include Computer Science or Engineering (Required)
• 2-4yearsTechnicalengineering experience. (Required)

Knowledge,Skillsand Abilities:

• Full Stack Developer:
• Backend - Java, Spring boot, NodeJS, Microservices, REST, Event-driven design (Kafka/RabbitMQ)
• Frontend - JavaScript/Typescript, Angular, HTML, CSS
• SQL/NoSQL Database
• Devops- Gitlab CI, Docker, Kubernetes, AWS
• Strong knowledge of Agentic AI
• Strong knowledge of using AI tools in analysis and design (Required)
• Hands onexperience in analyzing requirements and designing solutions
• Communication (Required)
• Customer Service (Required)
• Analytics (Required)
• Technical Writing (Required)
• At least 18 years of age
• Legally authorized to work in the United States

Travel :
Travel Required (Yes/No): Yes

DOT Regulated :
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $92,500 - $166,800

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here .

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don’t stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out .

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder-it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth-and we applaud it. You’re unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500 . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Remote - Nationwide, United States Why WWT?

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world’s most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

Want to work with highly motivated individuals on high-performance teams? WWT) is seeking a highly driven and Cloud Sales Advisor to join our dynamic Cloud Sales team. In this role, you will collaborate closely with cross-functional teams to develop and execute comprehensive cloud sales strategies, driving initiatives from concept to business outcomes.

The primary goal of this position is to achieve and exceed sales targets by promoting WWT’s suite of cloud services including strategy and adoption, infrastructure and operations, networking and security, migration and modernization, as well as data readiness and AI.

Drive profitable revenue growth in cloud services, focusing on large enterprise clients.

Demonstrate experience selling cloud services alongside digital transformation and application development projects.

Engage with major cloud OEMs such as Oracle, VMware, Snowflake, Crowdstrike, Palo Alto Networks, Wiz & many others in the industry.

Manage client and OEM relationships, creating value for accounts from ideation through to successful outcomes.

Lead the sales strategy by developing both short and long-term plans based on in-depth market research and understanding of industry trends.

Define and execute the optimal coverage model across WWT’s teams and organizational structures.

Stay updated with emerging trends across the cloud ecosystem.

Proven track record of successfully selling cloud services to enterprise clients

Strong understanding and experience with key cybersecurity OEMs such as Oracle, VMware, Snowflake, Crowdstrike, Palo Alto Networks, Wiz & many others in the industry.

Demonstrated experience and deep technical acumen in cloud services sales.

Excellent relationship-building skills and ability to engage effectively at all organizational levels.

Proven ability in account planning, partner relationship management, and sales strategy execution.

Bachelor’s degree or equivalent industry experience preferred.

Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

We offer the following benefits to all full-time employees:

Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program

Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement

Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement

Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. LI-Remote

Eligible Work Locations: Remote - Nationwide, United States

Why WWT?

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world’s most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT’s culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What will you be doing?

World Wide Technology, Inc. (WWT) is seeking a highly driven and Cloud Sales Advisor to join our dynamic Cloud Sales team. In this role, you will collaborate closely with cross-functional teams to develop and execute comprehensive cloud sales strategies, driving initiatives from concept to business outcomes.

The primary goal of this position is to achieve and exceed sales targets by promoting WWT’s suite of cloud services including strategy and adoption, infrastructure and operations, networking and security, migration and modernization, as well as data readiness and AI.

Responsibilities :

• Drive profitable revenue growth in cloud services, focusing on large enterprise clients.
• Demonstrate experience selling cloud services alongside digital transformation and application development projects.
• Engage with major cloud OEMs such as Oracle, VMware, Snowflake, Crowdstrike, Palo Alto Networks, Wiz & many others in the industry.
• Strategically expand WWT’s market presence by aligning solutions with clients’ key business objectives.
• Build and nurture relationships with C-level executives and decision-makers at targeted clients.
• Manage client and OEM relationships, creating value for accounts from ideation through to successful outcomes.
• Lead the sales strategy by developing both short and long-term plans based on in-depth market research and understanding of industry trends.
• Define and execute the optimal coverage model across WWT’s teams and organizational structures.
• Stay updated with emerging trends across the cloud ecosystem.

Qualifications :

• Proven track record of successfully selling cloud services to enterprise clients
• Strong understanding and experience with key cybersecurity OEMs such as Oracle, VMware, Snowflake, Crowdstrike, Palo Alto Networks, Wiz & many others in the industry.
• Demonstrated experience and deep technical acumen in cloud services sales.
• Strong consultative selling experience, with the ability to develop tailored solutions that address client-specific business challenges.
• Excellent relationship-building skills and ability to engage effectively at all organizational levels.
• Proven ability in account planning, partner relationship management, and sales strategy execution.
• Outstanding communication, presentation, and organizational skills.
• Bachelor’s degree or equivalent industry experience preferred.

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $110,000.00 to $137,500.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!

If you have any questions or concerns about this posting, please email taposting@wwt.com.

#LI-DP2

#LI-Remote

At TCS, we are at the forefront of innovation, building next-generation solutions that redefine our industry. We believe in the transformative power of artificial intelligence and are looking for bright, ambitious graduates to join our team. This is an exciting opportunity to launch your career, learn from seasoned professionals, and work with the most advanced AI technologies on the market.

Job Summary

We are seeking a motivated and curious Software Engineer who is a recent or upcoming graduate passionate about the potential of Generative AI. This is a unique entry-level opportunity to blend your academic knowledge of computer science with hands-on experience in prompt engineering and AI-assisted development. You will join a collaborative team, receive mentorship from senior engineers, and contribute to building real-world products by leveraging cutting-edge Large Language Models (LLMs) and cloud platforms. If you are eager to learn and grow in the rapidly evolving field of AI, this role is for you.

Key Responsibilities

• Contribute to AI-Powered Features: Write, test, and debug high-quality code for new features under the guidance of senior engineers.
• Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact with LLMs (like GPT-4, Claude, etc.) for tasks like code generation and problem-solving.
• Utilize GenAI Tools: Learn to effectively use AI coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer) to enhance your productivity and learn best practices.
• Collaborate and Learn: Work closely with product, design, and engineering teams to understand requirements and contribute to technical solutions.
• Problem Solving: Apply your knowledge of data structures and algorithms to help solve complex challenges in a supportive team environment.
• Cloud Exposure: Gain hands-on experience deploying and monitoring applications on modern cloud platforms like AWS and Azure.
• Continuous Growth: Stay curious and actively learn about the latest trends, tools, and techniques in Generative AI and software development.

Required Qualifications & Skills

• Education: Bachelor’s or Master’s in degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• Programming Foundation: Solid understanding of at least one programming language, with a preference for Python, Java, Go, or TypeScript, demonstrated through coursework and projects.
• Software Fundamentals: Strong grasp of core computer science concepts, including data structures, algorithms, and object-oriented design.
• Passion for AI: A strong, demonstrable interest in Generative AI and prompt engineering, evidenced by personal projects, coursework, research, or a portfolio.
• Eagerness to Learn: A proactive and enthusiastic attitude towards learning new technologies and tackling unfamiliar challenges.
• Cloud Concepts: Basic familiarity with cloud computing concepts (what are AWS and Azure and what services they provide).