Senior AI Software Development Engineer developing mission-critical automation solutions within Leidos' Air Traffic Business Area. Collaborating in an Agile environment to deliver software solutions and maintain microservices-based applications.
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, product delivery, 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
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
12+ years of relevant experience or 10+ years of experience with 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 working in Agile environments
Experience with test automation frameworks and integration of automated test suites into CI/CD pipelines
Understanding of APIs and distributed system concepts
Ability to obtain and maintain a Public Trust clearance
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