Platform DevOps Engineer
Posted 8 Oct 2026
Advertised as “Platform Devops Engineer-TS/SCI & CI POLY”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
No salary listed for this role.
Field of studyTechnical Field
Study levelBachelor's or higher
SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape.
POSITION OVERVIEW
- Position: Platform DevOps Engineer
- Job Type: Full Time
- Location: Columbia, MD
- Clearance Requirement: TS/SCI, CI Poly
- Salary : Senior $215K SME $240K
WHAT YOU’LL DO
SIXGEN is actively seeking candidates to 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.
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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.
Required Qualifications: