Senior Solutions Engineer – US Federal
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Job Description
Senior Solutions Engineer helping Coder sell secure AI development infrastructure to federal agencies. Leading demos, deployments, and proofs-of-concept in classified and air-gapped environments.
Responsibilities:
- Partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies
- Own the technical relationship with agency prospects through pre-sales and manage toward a technical win
- Lead or support post-sales relationships and renewals when needed
- Demo the Coder platform from developer, administrator, and AI-agent workflow perspectives, including classified and air-gapped settings
- Install Coder on cloud, including GovCloud, and on-premises Kubernetes or VM infrastructure, including air-gapped and disconnected networks
- Run proofs-of-concept demonstrating Coder’s value for agentic and LLM-powered development workflows
- Develop subject-matter expertise in Cloud Development Environments and agentic AI development
- Serve as the agency’s voice and route insights to Engineering and Product
- Log feature requests and issues in public/private Git repositories
- Troubleshoot Coder deployments, networking, and Kubernetes components during evaluations, including in classified networks
- Contribute pull requests to Coder documentation
- Diagnose technical, security, and mission blockers and design fast, effective proofs-of-concept
- Translate technical fluency into business cases for program managers, security officers, and mission owners
- Identify technical, security, and procedural risks and involve appropriate stakeholders
- Feed field experience back into product and marketing
Requirements:
- Active TS/SCI clearance with Polygraph required at time of hire
- U.S. citizenship required
- Physically based in the DC / Maryland / Virginia (DMV) area
- Ability to travel to customer sites as required
- Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling
- Experience selling into federal, defense, or intelligence community customers ideally
- Experience with AI tooling at the user and infrastructure levels, including coding agents, assistants, model proxies, and LLM routing layers
- Ability to speak credibly about agency evaluation and adoption of AI tooling, including in classified environments
- Strong customer-facing skills with technical stakeholders and program offices
- Ability to translate technical hurdles into mission value
- Understanding of agentic AI software development use cases
- Comfortable leading architecture demos and deep-dive troubleshooting in secure, restricted-access environments
- Deep Linux fundamentals and command-line proficiency
- 3+ years hands-on with Docker and Kubernetes
- Experience with AWS GovCloud, Azure Government, or on-premises/air-gapped Kubernetes deployments
- 3+ years with Terraform or comparable infrastructure-as-code tooling
- Solid networking knowledge, including ingress controllers, proxies, load balancers, and DoD/IC network boundaries
- Startup-speed execution, ownership mindset, and player-coach attitude
- Bonus: success at high-growth startups and larger software vendors
- Bonus: direct experience deploying or supporting AI coding agents
- Bonus: prior military, intelligence community, or federal civilian service background
- Bonus: experience with FedRAMP, DoD IL4/IL5, or ATO processes
- Bonus: CI/CD, DevOps, or developer-platform product experience
- Bonus: platform engineering or developer platform team experience
- Bonus: Kubernetes, AWS, or related certifications
Benefits:
- Equity
- Commission; SEs are on a base salary/30% variable split
- Remote work
- Transparent interview process completed in two to four weeks if schedules allow
- AI tooling permitted for take-home assessments
- Equal employment opportunity
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