AI Software Developer

Leidos•Gaithersburg, MD

6d•Hybrid

About The Position

Leidos is seeking an AI Software 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. In this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and DevSecOps teams. The primary focus is on developing microservices-based applications within an Agile/SAFe environment. Experience with AI-enabled or data-driven systems is advantageous. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation This position is located in Gaithersburg, MD. This is an opportunity to contribute to projects that impact millions of air travelers. 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.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
2+ years of relevant experience or a Master's Degree
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

Nice To Haves

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

Responsibilities

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