Senior AI Software Developer
Job Summary
Leidos is seeking a Senior AI Software Developer to support the development of the Leidos Common Baseline within the Air Traffic Business Area. The role involves designing and implementing microservices-based applications in an Agile/SAFe environment while utilizing AI-assisted tools. The position focuses on building and modernizing real-time, safety-critical systems for national air traffic operations.
Responsibilities
- Design and develop microservices-based applications in an Agile/SAFe environment
- Collaborate with cross-functional teams to translate requirements into working software
- Implement automated testing strategies and use AI-assisted development tools
- Support troubleshooting, performance tuning, and continuous improvement
Required Skills
- Bachelor's degree in Computer Science, Engineering or equivalent with 8+ years experience
- Proficiency in modern programming languages like Java, Python, or C++
- Experience with microservices-based systems and Agile environments
- Exposure to AI/ML-enabled systems, automation, or intelligent platforms
Job Details
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)
8+ years of relevant experience or a Master's Degree and 6+ 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
Desired but not required: Commutable distance to Gaithersburg, MD or Egg Harbor Township, NJ.