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.

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

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