Lead AI Software Developer

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 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: July 31, 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 $87,100.00 - $157,450.00 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.