Senior Solutions Engineer (US West) - Coder

About Coder

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.

We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them.

What you will be doing

• Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win.
• Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives.
• Install Coder on cloud and on-prem Kubernetes or VM infrastructure.
• 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 business impact.
• Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product.
• Track and report product issues and feature requests using Linear.
• Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation.
• Contribute pull requests to Coder’s documentation.

What you bring

• Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling.
• Strong customer-facing skills that win trust with technical stakeholders.
• Ability to translate technical hurdles into business 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.
• Deep Linux fundamentals and comfort at the command line.
• 3+ years hands-on with Docker and Kubernetes.
• Experience with AWS, Google Cloud, or Microsoft Azure.
• 3+ years with Terraform or comparable infrastructure-as-code tooling.
• Solid grasp of networking: ingress controllers, proxies, load balancers.
• Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM).
• Startup-speed execution, ownership mindset, and a player-coach attitude.

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.

• Not permitted: Using AI assistance during conversational interviews.
• Permitted: Using AI tooling for take-home assessments.