Software Engineer, Go - Codebase Q&A

Weekday AI

1d • $130 - $130 • Remote

About The Position

We are seeking experienced Go engineers to build the dataset that teaches AI agents to reason about real codebases. Codebase Q&A is a reinforcement-learning environment for training AI agents to explore and reason about software repositories they have never seen before. You will build difficult codebase-exploration tasks: high-level engineering questions about production Go repositories that cannot be answered by reading a single file, and that require runtime evidence to resolve — the kind of question a senior engineer answers by actually investigating the system. This track works on infrastructure-grade Go codebases including etcd, Traefik, Helm, Kustomize, CoreDNS, NATS Server, Temporal, Syncthing, restic, Authelia, BadgerDB, quic-go, gRPC-Go, Hugo, rclone, Trivy, cert-manager and Pion WebRTC.

Requirements

• 3+ years of professional software engineering experience, with substantial production Go
• Demonstrated ability to navigate a large, unfamiliar Go codebase and explain how it behaves at runtime — not just what the source says
• Fluency in Go concurrency, interfaces, module boundaries, and the standard library; comfort reading generated code and build tooling
• Experience with distributed systems, networking, storage engines, or Kubernetes-ecosystem tooling is highly relevant
• Precise written English: the questions and rubrics you write are the product
• Comfortable with git at commit level, containerized environments, and command-line tooling

Nice To Haves

• the task mix is weighted toward architecture and system design (42%), code onboarding (26%) and root-cause analysis (20%)

Responsibilities

• 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 so it defeats frontier coding agents while remaining well-defined and fairly answerable
• Adjust rubrics and foils so they 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

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed