Platform DevOps Engineer

Gormat; Corridor North (MD); On-site; USD 180,000 - 230,000; Full time

Job summary

Gormat, supporting US Cyber Command, is seeking a Senior Platform/DevOps Engineer to own the infrastructure, pipelines, and guardrails for enterprise AI deployments.

You will collaborate with AI/ML teams to scale AI models across cloud and air-gapped environments, ensure security accreditation, and continuously evolve DevOps practices.

This role requires TS/SCI with poly, deep DevOps experience, and a proactive, cross-functional mindset.

Qualifications

• Bachelor's degree in a relevant technical field; 8+ years experience if no master's.
• Active TS/SCI clearance with Poly is required.
• Advanced proficiency in DevOps principles and practices.
• Containerization experience with Docker and Kubernetes.
• Proven experience architecting and managing CI/CD pipelines.
• Extensive experience with AI model lifecycle management and maintenance.

Responsibilities

• Provide embedded operations support and rapid prototyping for AI-enabled tools.
• Design, implement, and maintain robust infrastructure for enterprise AI in cloud and on-prem environments.
• Develop and optimize engineering workflows to support AI model deployment and maintenance.
• Architect and manage CI/CD pipelines for AI models, agents, and applications.
• Implement and manage containerization with Docker and Kubernetes; build control-plane guardrails.
• Ensure efficient AI model lifecycle management including versioning, monitoring, and scaling.
• Collaborate with AI/ML engineers to streamline deployments and optimize resource use.
• Oversee system performance, security, and RMF/ATO accreditation for AI systems.
• Continuously research and adopt new DevOps tools and practices.

Skills

DevOps principles

AI model lifecycle management

Security compliance

Education

Bachelor's degree in a relevant technical field

Master's degree in a relevant technical field

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

Are you an experienced DevOps/platform engineer who thrives in a fast-paced environment? Do you enjoy owning infrastructure end to end, and want to help shape how AI is deployed and delivered across a national mission? If so, then be part of a team that supports the United States Cyber Command (USCC)!

Our team is standing up USCYBERCOM's 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 of the USCC.

What You'll Be Doing:

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific, and general computing applications. Set operational specifications and formulate and analyze software requirements. May design embedded systems software. Apply principles and techniques of computer science, engineering, and mathematical analysis.

• 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.

Required 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
• Active TS/SCI clearance w/ Poly
• 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

Desired Qualifications:

• 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

TS/SCI with polygraph is required.