Senior Platform DevOps Engineer

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 Description

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.

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