Senior Solutions Engineer Federal

• Lead technical engagements with federal agency prospects, navigating the pre-sales lifecycle to secure technical wins.
• Deliver compelling platform demonstrations tailored for developers, administrators, and security officers, adapting to classified and air-gapped network constraints.
• Deploy and configure complex software solutions across cloud and on-premise infrastructure, including GovCloud and disconnected Kubernetes environments.
• Execute hands-on proofs-of-concept to validate the value of advanced AI and LLM-powered development workflows, accelerating the sales cycle.
• Troubleshoot intricate deployments, networking issues, and infrastructure components during client evaluations in secure facilities.
• Serve as the crucial link between federal clients and internal engineering teams, advocating for feature requests and routing mission insights to shape the product roadmap.

Active TS/SCI clearance with Polygraph (U.S. Citizenship required).

Reside in the Washington DC, Maryland, or Virginia (DMV) area with the ability to travel locally to customer sites.

5+ years of experience as a Solutions Engineer selling infrastructure or developer tools into federal, defense, or intelligence customers.

3+ years of hands-on experience with Docker, Kubernetes, and Terraform (or similar Infrastructure-as-Code tooling).

Deep understanding of Linux fundamentals and strong comfort operating at the command line.

Verifiable experience with AI tooling, coding agents, and LLM infrastructure.

Solid networking knowledge encompassing ingress controllers, proxies, load balancers, and DoD network boundaries.

Nice-to-Haves

Prior military, intelligence community, or federal civilian service background.

Familiarity with FedRAMP, DoD IL4/IL5, or ATO compliance processes.

Direct experience deploying or supporting AI coding agents in restricted customer environments.

Strong background in CI/CD, DevOps, or platform engineering.

Industry certifications in Kubernetes, AWS, or related cloud technologies.

skills:

AWS,AI,Cloud Development,command line,CI/CD,Cursor,DevOps,Docker and Kubernetes,GitHub Copilot,Kubernetes,LLM-powered,LLM,LLM-based,Linux,load balancers,Azure,developer tooling,software development,Git repositories,Terraform,AI agent,decision-maker,Troubleshoot,credible,AWS,architecture,Install,AI coding,DMV,classified networks,customer-facing skills,diagnose,FedRAMP,infrastructure,conversation,sharpening,marketing,Physically based,pre-sales,platform engineering,Public Sector,use cases,security,sales,selling,Solutions Engineering,technical fluency,AI tooling,Active TS/SCI clearance,workflows