Gaithersburg, MD30+ days ago
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?