Lead AI Software Developer
Leidos, Gaithersburg, MD, United States
Description
Leidos is seeking a
Lead AISoftware Developer
to join the
Air Traffic Business Area within the Homeland Sector , supporting the development of the
Leidos Common Baseline . Common Baseline is a mission‑critical, future‑ready automation solution built on a hybrid cloud data mesh architecture. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud‑native and AI‑enabled capabilities. You will work alongside cross‑functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety‑critical environment.
This position is located in
Gaithersburg, MD .
This is a hybrid position requiring 3 days onsite and 2 days working from home.
This role focuses on building and modernizing real‑time, safety‑critical systems using a combination of traditional systems engineering and AI‑augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability.
What You’ll Do
Design, develop, and maintain
microservices‑based applications
using modern software engineering best practices
Collaborate with product owners, architects, and engineers in an
Agile/SAFe environment
Participate in sprint planning, daily standups, reviews, and retrospectives
Collaborate with systems engineering and program teams to translate requirements into working software solutions
Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices
Contribute to system design discussions and technical decision‑making
Integrate services with databases, messaging systems, and external APIs
Support troubleshooting, performance tuning, and continuous improvement
Work closely with QA, DevOps, and platform teams to ensure reliable delivery
Implement modern automated testing strategies, including unit, integration, contract, and end‑to‑end testing
Use
AI‑assisted development tools
to accelerate coding, refactoring, debugging, and test creation
Core Technical Qualifications
Bachelor’s degree
in Computer Science, Engineering, or a related technical field (or equivalent experience)
4+ years of relevant experience
or a Master’s Degree and 2+ years of relevant experience
Hands‑on experience building and supporting
microservices‑based systems
Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux‑based system)
Experience or exposure to
AI/ML‑enabled systems
(Claude‑Code), automation, or intelligent platforms
Experience working in
Agile environments
Understanding of APIs and distributed system concepts
Ability to obtain and maintain a Public Trust
U.S. citizenship required
Successful completion of background investigations as required by the government customer
Preferred / Desired Qualifications
Experience with Git‑based version control and CI/CD pipelines
Familiarity with
Scaled Agile Framework (SAFe)
Experience working with
relational and/or NoSQL databases
Hands‑on experience with
Kafka or other event‑streaming technologies
Cloud experience (AWS, Azure, or GCP)
Containerization and orchestration experience (Docker, Kubernetes)
Experience working in DevSecOps environments
Experience with test automation frameworks and integration of automated test suites into CI/CD pipelines
Pay Range
$87,100.00 - $157,450.00
Pay and Benefits
Pay and benefits are fundamental to any career decision. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.
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.
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Leidos is seeking a
Lead AISoftware Developer
to join the
Air Traffic Business Area within the Homeland Sector , supporting the development of the
Leidos Common Baseline . Common Baseline is a mission‑critical, future‑ready automation solution built on a hybrid cloud data mesh architecture. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud‑native and AI‑enabled capabilities. You will work alongside cross‑functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety‑critical environment.
This position is located in
Gaithersburg, MD .
This is a hybrid position requiring 3 days onsite and 2 days working from home.
This role focuses on building and modernizing real‑time, safety‑critical systems using a combination of traditional systems engineering and AI‑augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability.
What You’ll Do
Design, develop, and maintain
microservices‑based applications
using modern software engineering best practices
Collaborate with product owners, architects, and engineers in an
Agile/SAFe environment
Participate in sprint planning, daily standups, reviews, and retrospectives
Collaborate with systems engineering and program teams to translate requirements into working software solutions
Develop clean, maintainable, and testable code following CI/CD and DevSecOps practices
Contribute to system design discussions and technical decision‑making
Integrate services with databases, messaging systems, and external APIs
Support troubleshooting, performance tuning, and continuous improvement
Work closely with QA, DevOps, and platform teams to ensure reliable delivery
Implement modern automated testing strategies, including unit, integration, contract, and end‑to‑end testing
Use
AI‑assisted development tools
to accelerate coding, refactoring, debugging, and test creation
Core Technical Qualifications
Bachelor’s degree
in Computer Science, Engineering, or a related technical field (or equivalent experience)
4+ years of relevant experience
or a Master’s Degree and 2+ years of relevant experience
Hands‑on experience building and supporting
microservices‑based systems
Proficiency in at least one modern programming language (e.g., Java, Python, C++, or similar on a Linux‑based system)
Experience or exposure to
AI/ML‑enabled systems
(Claude‑Code), automation, or intelligent platforms
Experience working in
Agile environments
Understanding of APIs and distributed system concepts
Ability to obtain and maintain a Public Trust
U.S. citizenship required
Successful completion of background investigations as required by the government customer
Preferred / Desired Qualifications
Experience with Git‑based version control and CI/CD pipelines
Familiarity with
Scaled Agile Framework (SAFe)
Experience working with
relational and/or NoSQL databases
Hands‑on experience with
Kafka or other event‑streaming technologies
Cloud experience (AWS, Azure, or GCP)
Containerization and orchestration experience (Docker, Kubernetes)
Experience working in DevSecOps environments
Experience with test automation frameworks and integration of automated test suites into CI/CD pipelines
Pay Range
$87,100.00 - $157,450.00
Pay and Benefits
Pay and benefits are fundamental to any career decision. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement.
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.
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