Requisition #: 1919
Job Title: Senior Platform DevOps Engineer
Location: Fort Meade, MD - Onsite
Clearance Level: TS/SCI w/ Polygraph, Must Have Clearance to Start
Job DescriptionOur 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.
What You'll Be Doing:- 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.
Basic Qualifications- 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
Preferred Skills- 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
$155,000 - $175,000 a year
