About the company At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests. Requisition #: 1919 Job Title: Senior Platform DevOps Engineer Location: Fort Meade, MD - Onsite Clearance Level: TS/SCI w/ Polygraph, Must Have Clearance to Start About the role Our team is standing up an AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a Senior Platform / DevOps Engineer on this team, you will build and run the infrastructure, pipelines, and control-plane guardrails that let the command adopt AI safely and at scale, with significant, visible impact on the mission. Responsibilities Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer. Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) and on-prem/air-gapped/classified environments. Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance. Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications. Implement and manage containerization and orchestration solutions using Docker and Kubernetes, and build and maintain control-plane guardrails — identity, policy enforcement, approvals, audit/logging, and observability. Ensure efficient AI model and agent lifecycle management, including versioning, monitoring, and scaling. Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization. Oversee system performance, security, and scalability of AI infrastructure, and support security accreditation (RMF/ATO) of AI systems. Continuously research and implement new DevOps tools and practices to enhance efficiency. Requirements Bachelor's degree in a relevant technical field with 10+ years of experience, or Master's degree in a relevant technical field with 8+ years of experience Advanced proficiency in DevOps principles and practices Demonstrated expertise in containerization using Docker and Kubernetes Proven experience in architecting and managing CI/CD pipelines Extensive experience with AI model lifecycle management and maintenance Active TS/SCI clearance w/ Poly Nice to have Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible) Understanding of machine learning concepts and their implications for infrastructure; continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements
