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Senior Back End Developer - TS/SCI Clearance Required

Maximus

Multiple locations

+9

General information

Job Posting Title

Senior Back End Developer

Date

Wednesday, April 22, 2026

City

San Antonio

State

TX

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 onsite five days a week in San Antonio, TX, and requires a TS/SCI security clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS197, T5, Band 8

Job-Specific Essential Duties and Responsibilities:

Provides subject matter proficiency for work described in the task.
Responsible for providing analytical skills to support process improvement, specialized studies, and definition of requirements.
Typical duties include analysis, planning, developing requirements documents, building functional models, developing procedures, developing functional architecture, and other related management and technical duties.
Requires expertise in specialty areas.
Shall perform engineering tasks for back-end design and development efforts including, but not limited to, developing back-end architectures to support current and new system capabilities and integrations, RESTful API development and modification, database management, and data model development and optimization.

Job-Specific Minimum Requirements:

Active TS/SCI clearance is required.
Must be able to report on-site in San Antonio, TX up to five days per week based on customer requirements.
10 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.
5 years of experience performing back-end web design and development.
10 years of experience in relational databases, RESTful API development and integration.
5 years of experience in Python and PostgreSQL.
5 years of experience with bug tracking software (e.g., Jira).
5 years of experience testing web-based applications.
5 years of experience leading software development programs or projects.
3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.
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 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.

Preferred Skills and Qualifications:

Experience with integrating data from unclassified to classified application deployments.
5 years of experience with DoW software development.
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

TCS197, T5, Band 8

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

$

125,000.00

Maximum Salary

$

150,000.00

Senior Lead AI Engineer

+3

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).

Lead Software Engineer

Leidos

Arlington, VA, United States

+8

Description

We are seeking an experienced Lead Software Engineer to join our team in developing the forefront of unmanned and autonomous ship development for the US Government. Based in Arlington, VA, you will be embedded within an Agile Scrum team – designing, building, and testing software that powers some of the nation’s most critical maritime programs. The candidate will help to lead projects of significant national importance, guiding the transformation of existing vessels into autonomous platforms and supporting the development of new ships from concept through deployment.

What You’ll Work On:

Our software portfolio spans the full spectrum of autonomous maritime operations, including:

Ship Automation & Control Systems
Autonomous Navigation
Sensor Fusion & Processing
Communication Systems
Modeling & Simulation for verification and software testing

Primary Responsibilities

Analyze, design, code and update software for new features and performance improvements.
Participate in the full software development lifecycle, from requirements and design through implementation, testing, and deployment.
Serve as technical lead for small projects, providing direction and ensuring technical quality.
Mentor and coach junior engineers, fostering professional growth and elevating team capabilities.
Perform peer reviews of software, ensuring quality, maintainability, and adherence to best practices.
Drive continuous process improvement, collaborating with the team to optimize workflows, tools, and engineering practices.
Assist with evaluating field tests, analyzing results and transitioning findings into actionable software enhancements.
Engage directly with client project stakeholders, communicating technical progress, risks, and solutions effectively.
Some travel (up to 25%) to support field testing, client engagements, and program milestones.

Basic Qualifications

A Bachelor’s degree in Computer Science or STEM field plus 4+ years of professional software development experience, or 2+ years of professional experience with a Master’s degree.
Understanding of data structures.
Professional experience using C++ and Linux.
Knowledge of the Linux operating system.
Experience with software source control and configuration management tools.
Significant experience working in a team environment, including experience providing guidance and coaching other developers
Exposure to one or more of the following: high availability, sensor fusion, target tracking, path planning, communications systems, or military systems integration.
Ability to obtain and maintain a Secret Security Clearance.

Preferred Qualifications

Familiarity with the Atlassian tool suite (Jira, Confluence)
Familiarity with automated build processes (Bamboo, Jenkins, etc.)
Professional experience using Java and front-end development frameworks.
Knowledge and experience with relational databases such as Oracle, MySQL, PostgreSQL, MariaDB, or Microsoft SQL Server.
Experience with Python.
Experience designing complex systems, considering performance and user requirements.
Experience with interface communication standards / protocols such as TCP/IP, UDP, and DDS.
Familiarity with game theory, artificial intelligence, petri nets, safety critical software.
Demonstrated experience with Docker and Kubernetes (RKE2) in containerization, Kubernetes management and automation technologies.
Experienced in designing, implementing, and analyzing simulations involving extensive datasets, ensuring efficient data processing and accurate modeling outcomes.
Proficient in applying vector geometry concepts for spatial analysis, modeling, and problem-solving in simulation environments.
Active Secret Security Clearance preferred

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 27, 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.

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

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).

Lead Software Engineer

L3Harris Technologies

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Lead, Software Engineer

Job Code: 35516

Job Location: Herndon, VA (on-site)

Schedule: 9/80 Regular Schedule (Every other Friday off)

L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

About L3Harris Technologies:

L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers’ mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries.

JOB DESCRIPTION:

The successful candidate will be based at our Herndon-VA office (onsite). We develop advanced sonar systems and support software that enables system control, data acquisition, and analysis. Work includes software requirements development, software test and integration, and both application level and embedded C/C++ development, including Linux based GUI and system control work. The role also involves UI and embedded software development for equipment operating in diverse environments such as factory, depot, laboratory, and shipboard settings.

In addition to technical contributions, this position supports the day to day activities of the Software Engineering Group by providing technical guidance, assigning tasks, participating in complex engineering efforts, reviewing and approving formal documentation, and estimating labor, tools, and other resources to meet budget and schedule commitments. A strong understanding of UI design on Windows and Linux platforms is preferred, and additional hardware related responsibilities may be assigned based on skill set.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Design and implement software using C/C++ and C#.
Execute assigned projects and tasks involving software design, documentation, verification, and validation for sonar systems.
Perform technical reviews, design analyses, and the development and selection of hardware and mission critical software.
Modify and enhance existing software for operational systems or test facilities.
Conduct analyses for computer hardware and software development or implementation; structure work to enable clear progress assessment.
Provide independent validation and verification of design concepts and implementation approaches.
Develop, test, and document software code, and support integration into higher level assemblies as required.
Perform software configuration management to ensure all code reflects the current version and revision level.
Implement review and oversight procedures to evaluate design activities for compliance with customer requirements, company standards, engineering best practices, and quality system procedures.
Ensure assigned tasks meet technical, schedule, and quality requirements. Identify and report issues, recommending corrective actions or alternatives when cost or schedule risks are identified.
Prepare design review materials in support of SRR, PDR, CDR, and other technical audits.
Foster and maintain positive relationships with customers, suppliers, colleagues, industry groups, government agencies, and the community.
Ability to travel up to 25%.
Ability to obtain and maintain a Secret Security Clearance.

QUALIFICATIONS:

Bachelor’s degree in Computer / Electrical, or Electronics Engineering or equivalent and minimum 9 years of prior relevant experience. Or, Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
5+ years of experience designing and implement software in C/C++, C# languages.
At least 2 years of experience in embedded software, and user interface (UI) software development on Windows and Linux desktop platforms
At least 2 years of practical knowledge of project management.
Demonstrated leadership experience within the job area, with comprehensive knowledge and skills in a specific technical discipline and a broad understanding of related functions.
Professional experience in project management, software metrics, team leadership, and EVMS.
Ability to independently contribute to software requirements development, software testing and integration, and the creation of both application level and embedded C/C++ code on Windows-based and Linux based systems, including GUI and system control development.
Experience creating and presenting proposals, including developing and reviewing cost estimates and proposal packages.
Ability to present proposals and program execution status to internal executives, program managers, and customers.
Contributions to the development of new technologies and processes, including submitting ideas for IRAD efforts and supporting the execution of funded IRAD and Internal Order projects.
Strong background in software development, with the ability to prepare and deliver technical presentations to management and customers.
Proven track record of successfully leading large project planning and development activities.

PREFERRED ADDITIONAL SKILLS:

Understanding of user interface (UI) elements, tools, and development techniques.
Experience with Linux OS configuration, including kernel modifications, drivers, and U Boot.
Familiarity with multiple programming languages such as C/C++, C#, VB, Verilog, Java, and Structured Text/PLC.
Strong analytical and communication skills.
Ability to interpret and clearly communicate engineering plans and specifications, with solid knowledge of engineering theory and design criteria.
Excellent general computer skills and ability to quickly learn new hardware and software applications.
Experience using and configuring networking equipment.
Ability to write concise technical reports documenting findings.
Strong human relations and collaboration skills.
Knowledge of Kafka or similar event streaming platforms.
Experience with TCP and UDP socket networking.
Linux development experience.

In compliance with pay transparency requirements, the salary range for this role is $135,000 - $250,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide . click apply for full job details

Specialist Software Engineer

L3Harris Technologies

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Specialist Software Engineer

Job Code: 35496

Job Location: Anaheim Ca

Schedule: 9/80

Summary:

Under general direction of the Management of Software Engineering, this position develops and applies advanced software engineering methods in the investigation and solution of complex and advanced technical problems power system architectures and power conversion equipment. The Specialist Software Engineer shall lead a small software engineer team to support for all stages of product development from design through implementation and system integration under minimal supervision.

Essential Duties:

Development and integration of software projects for existing and new products.
Interpret customer specifications to define requirements for software design.
Provide software technical leadership for the software developer team members.
Perform requirement analysis and software coverage analysis for software code base.
Compose software use case and review test procedures for validation and verification of software development.
Capture and document existing software products to meet qualification standards at highly regulated and safety critical government contracts.
Ability to work simultaneously on a variety of projects.
Reviews project progress and help with earned value reporting. Recommend corrections in technical approach to maximize efficiency of engineering resources.
Responsible to lead and operate Agile sprint/Kanban team, sprint planning, Jira ticket-based workflow management, and tracking toward team deliverable objectives.
Proactively seek performance improvement/enhancement for the SW team with DevSecOp assisted automation and streamlining.
Support activity effort estimation in development of software bid and proposals.
Support new programs from conceptual design, through detail design to completion.
Provides expert guidance with a variety of software engineering concepts, practices, and procedures
Coordinate directions from Project and/or System Engineering Department Manager.

Qualifications:

Bachelor of Science degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent from a four-year college or university; and minimum 6 years of experience in design and analysis of systems software for power conversion equipment.
- Or a Master of Science or advanced degree preferred and a minimum of 4 years of prior related experience.
- Or in lieu of a degree, minimum of 10 years of prior related experience.
Ability to obtain and maintain a secret/security clearance.
Expertise in embedded real-time systems software design.
Experienced in object and service-based software architectures, a plus.
Experienced in embedded C and C++ programming.
Expertise with communication protocols, such as RS-232, RS-485, and Ethernet.
Proven effective communication with Senior Project Management and customer representatives is essential.

Preferred Additional Skills:

Experience in development and releasing software products meeting highly regulated and safety critical standards, medical or military grade software product, preferred.
Design familiarity with control systems and power conversion concepts is highly preferred.
Knowledge of power electronics and analog circuits, a plus.
Must be able to work as a key member of the design team with Power Design Engineers, Digital and Analog Engineers, System Engineers, Control System Engineers and Mechanical Engineers
Knowledge of Python or C-Sharp is beneficial.

In compliance with pay transparency requirements, the salary range for this role in California is $97,000- $180,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Lead Machine Learning Engineer (Enterprise Platforms Technology)

As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you’ll be expected to perform many ML engineering activities, including one or more of the following:

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.

Basic Qualifications:

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications:

Master’s or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

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

McLean, VA: $197,300 - $225,100 for Lead Machine Learning EngineerNew York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer