> Markdown version of [/jobs/ext/3418216-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/3418216-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Engineer - **Company:** Coder - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $62,400.0 - $87,360.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Command-Line Interface, Cloud Engineering, Cursor, Linux, Programming Tools, Software Engineering, Software Repository, Load Balancing, GitHub Copilot, Large Language Models, Kubernetes, Virtual Agents, Terraform, Docker - **Published:** September 3, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-solutions-engineer-us-federal/11024176?handler=ApplyRedirect ## About the Role This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells., * Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required * Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required * Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers * Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments * Strong customer-facing skills that win trust with technical stakeholders and program offices * Ability to translate technical hurdles into mission value in real time * Understand agentic AI software development use cases and advocate passionately where appropriate * Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments * Deep Linux fundamentals and comfort at the command line * 3+ years hands-on with Docker and Kubernetes * Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments * 3+ years with Terraform or comparable infrastructure-as-code tooling * Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries * Startup-speed execution, ownership mindset, and a player-coach attitude, * Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools) * Prior military, intelligence community, or federal civilian service background * Experience with FedRAMP, DoD IL4/IL5, or ATO processes * Background in CI/CD, DevOps, or developer-platform products * Experience in platform engineering or developer platform teams * Kubernetes, AWS, or related certifications ## Description * Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win * Lead or support post-sales relationships and renewals when needed * Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings * Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks * Run proofs-of-concept that prove Coder's value, including for agentic and LLM-powered development workflows, and accelerate deals * Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery * Serve as the agency's voice, routing insights to Engineering and Product * Log feature requests and issues in our public/private Git repositories * Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks * Contribute pull requests to Coder's documentation, Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com. Interview process We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI use during the interview process As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. Our use of AI in hiring We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: * Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. * Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby.