Senior AI Software Developer

Leidos is seeking a Senior AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Automation Platform (L-CAP) . L-CAP is a mission-critical, future-ready automation platform built on a hybrid cloud data mesh architecture , enabling next-generation air traffic management capabilities. As part of a large-scale Scaled Agile (SAFe) software development organization , you will serve as a technical leader and strategic architect , shaping enterprise data solutions that bridge mission needs, systems engineering rigor, and modern Agile delivery.

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 either Gaithersburg, MD or Egg Harbor Township, NJ . 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.

What You’ll Do

Lead Agile sprint planning ensuring alignment of team priorities, clear deliverables, and successful execution of project objectives

Mentor and guide team members by providing technical leadership, sharing best practices, removing roadblocks, and fostering a collaborative, high-performing team environment focused on continuous improvement

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

Why Leidos?

You’ll work on systems where performance, precision, and reliability matter — every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software that supports national infrastructure.

If you’re excited by solving complex problems in regulated, real-world environments — and using AI as a force multiplier rather than a shortcut — we’d like to talk.

ATMC

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:

June 30, 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.