Junior AI Software Engineer developing microservices-based applications for air traffic solutions at Leidos. Collaborating with cross-functional teams in a hybrid work environment.
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)
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 working in Agile environments
Understanding of APIs and distributed system concepts
Ability to obtain and maintain a Public Trust clearance
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