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Coder is seeking a Senior Solutions Engineer to join the Sales Engineering team, partnering with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects. You will guide prospects through technical demos, architecture discussions, and proofs-of-concept that demonstrate Coder's value for both human developers and AI coding agents.
This role combines deep technical expertise with business acumen. You will own the technical relationship with prospects through pre-sales, efficiently managing toward technical wins. Responsibilities include demoing the Coder platform across developer, administrator, and AI agent workflow perspectives; installing Coder on cloud and on-premises Kubernetes or VM infrastructure; running proofs-of-concept that validate Coder's value for agentic and LLM-powered development workflows; and evolving into a subject-matter expert on Cloud Development Environments and agentic AI development.
You will serve as the prospect's and customer's voice, routing insights to Engineering and Product teams. Additional responsibilities include tracking and reporting product issues and feature requests, troubleshooting Coder deployments and Kubernetes components during evaluation, and contributing pull requests to Coder's documentation.
Required qualifications include minimum 5 years as a Solutions Engineer selling infrastructure or developer tooling; strong customer-facing skills; ability to translate technical hurdles into business value; understanding of agentic AI software development use cases; comfort leading architecture demos and deep-dive troubleshooting; deep Linux fundamentals and command-line proficiency; 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); and experience with AI tooling at both user and infrastructure levels, including LLM infrastructure such as model proxies and routing layers.
Bonus qualifications include success at both high-growth startups and larger software vendors; direct experience deploying or supporting AI coding agents in customer environments; background in CI/CD, DevOps, or developer-platform products; experience in platform engineering or developer platform teams; and relevant certifications in Kubernetes, AWS, or related areas.
