> Markdown version of [/jobs/ext/4620171-go-engineer-codebase-expert](https://www.wearedevelopers.com/jobs/ext/4620171-go-engineer-codebase-expert). 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). --- # Go Engineer - Codebase Expert - **Company:** Mercor, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $270,400 - **Contract:** Permanent contract - **Skills:** Distributed Systems, Software Engineering, Git, Containerization, Kubernetes, Codebase - **Published:** November 7, 2026 - **Apply:** https://www.thejobnetwork.com/job/e01c6e91-30da-497b-a7de-3a0728777bbe/go-engineer-codebase-expert ## About the Role Must-Have * 3+ years of professional software engineering experience with substantial production Go. * Ability to navigate a large, unfamiliar Go codebase and explain runtime behavior. * Fluency in Go concurrency, interfaces, module boundaries, and the standard library. * Precise written English for crafting questions and rubrics. * Comfortable with git at commit level, containerized environments, and command-line tooling. Preferred * Experience with distributed systems, networking, storage engines, or Kubernetes-ecosystem tooling. ## Description * Select tasks from a pre-validated pool of Go repositories, each pinned to a specific git commit and arriving with an engineering question, positive and negative rubrics, foils, and a golden solution. * Explore the repository until you genuinely understand the subsystem in question, including the relevant PR or issue history. * Rewrite the task's question to challenge frontier coding agents while ensuring it remains well-defined and fairly answerable. * Adjust rubrics and foils to reward correct reasoning and reject plausible-but-wrong answers. * Run the full validation loop in Studio - Check, Golden, Run, Analyze - and iterate until every stage passes. * Document your work in the task README and submit for expert review, addressing reviewer feedback on returned tasks.