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Senior Solutions Engineer

None Full-time On-site 09/09/2026 Job ID: 000142
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Solutions Engineering Customer-facing skills Business value articulation Cloud Development Environments Agentic AI development

Summary

What you’ll impact

The Senior Solutions Engineer will partner with Account Executives to drive technical engagements with Fortune 500 prospects, delivering demos, architecture discussions, and proofs-of-concept to demonstrate the company's AI-enhanced development platform. The role balances deep technical execution with translating technical outcomes into business value, while feeding prospect feedback back to product and engineering.

Responsibilities

What you'll do

  • 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

Requirements

What you’ll 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) and the ability to speak credibly to how enterprises evaluate and adopt them
  • Startup-speed execution, ownership mindset, and a player-coach attitude

Ready to Move Forward?

Apply now and our recruiting team will reach out with next steps, interview guidance, and client insights tailored to this role.

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Equal Opportunity Employer

Intelatek is an Equal Opportunity Employer. All qualified applicants will receive consideration based on qualifications, merit, and business need, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law. Need an accommodation? Email accommodations@intelatek.co.