> Markdown version of [/jobs/ext/3546815-sr-ai-software-developer-175380](https://www.wearedevelopers.com/jobs/ext/3546815-sr-ai-software-developer-175380). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Software Developer - 175380 - **Company:** Zachary Piper - **Location:** Gaithersburg, MD, United States - **Experience:** Expert - **Salary:** $130,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Systems Engineering, Automation of Tests, Microsoft Azure, C++ (Programming Language), Cloud Computing, Databases, Continuous Integration, Software Debugging, DevOps, Distributed Systems, Python (Programming Language), Linux System Administration, Enterprise Messaging Systems, NoSQL, Performance Tuning, Scrum Methodology, E2e Testing, Scaled Agile Framework, Service-Oriented Architecture, Software Engineering, Software Requirements Analysis, Systems Architecture, Systems Integration, Git, Kubernetes, Information Technology, Apache Kafka, Video Streaming, Code Restructuring, Software Version Control, Devsecops, Docker, Web Api, Programming Languages, Microservices - **Published:** September 30, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9202144/sr-ai-software-developer-175380 ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience). * Ability to obtain and maintain a favorable Public Trust investigation * 8+ years of software development experience, or a Master's degree with 6+ years of relevant experience. * Hands-on experience building and supporting microservices-based systems. * Proficiency in at least one modern programming language such as Java, Python, C++, or similar development languages on Linux-based systems. * Experience or familiarity with AI/ML-enabled systems, intelligent platforms, automation technologies, or AI-assisted development tools. * Experience working within Agile software development environments. * Understanding of APIs, distributed systems, and service-oriented architectures. * Successful completion of all required government background investigations. Preferred Qualifications: * Experience with Git-based version control systems and CI/CD pipelines. * Familiarity with the Scaled Agile Framework (SAFe). * Experience working with relational and/or NoSQL databases. * Hands-on experience with Kafka or other event-streaming technologies. * Cloud experience with AWS, Azure, or GCP (AWS preferred). * Experience with Docker, Kubernetes, and container orchestration platforms. * Experience working in DevSecOps environments. * Experience implementing automated testing frameworks and integrating automated test suites into CI/CD pipelines. * Experience supporting real-time, mission-critical, or government systems. ## Description * Lead Agile sprint planning efforts to ensure alignment of team priorities, clear deliverables, and successful project execution. * Mentor and guide development teams by sharing technical expertise, removing roadblocks, and fostering continuous improvement. * Design, develop, and maintain microservices-based applications using modern software engineering best practices. * Collaborate with product owners, architects, systems engineers, and developers within an Agile/SAFe environment. * Participate in sprint planning, daily standups, sprint reviews, and retrospectives. * Translate system requirements into scalable, maintainable software solutions. * Develop clean, maintainable, and testable code while following CI/CD and DevSecOps practices. * Contribute to system architecture discussions and technical decision-making. * Integrate software services with databases, messaging systems, and external APIs. * Support troubleshooting, performance optimization, and system enhancements. * Work closely with QA, DevOps, and platform engineering teams to ensure reliable software delivery. * Implement automated testing strategies including unit, integration, contract, and end-to-end testing. * Utilize AI-assisted development tools to improve development velocity, refactoring, debugging, and test creation. * Support modernization initiatives for real-time, safety-critical government systems.