Pod Lead / Harness Engineer
Level
Senior Engineer / Tech Lead
Function
Engineering Cloud Migration Practice
Location
Remote / Hybrid
Reports To
Head of Engineering / Programme Director
Role Overview
You will lead a small, high-output agentic engineering pod migrating AWS Lambda applications to Azure. Inspired by OpenAI's Harness Engineering model, your primary job is not writing code it is designing the harness: the scaffolding, constraints, and feedback loops that let Claude Code agents do reliable work. You own the claude_code_forge scaffolding, define CLAUDE.md specs, enforce architectural invariants, and build the CI/CD guard-rails that keep agent-generated code coherent. You are player-coach: 70% building harness, 30% guiding the pod.
Key Responsibilities
- Own and evolve the claude_code_forge scaffolding repo structure, CLAUDE.md templates, creating agents, MCP tool configs, and custom slash commands
- Decompose the AWS estate into depth-first migration work-packages with clear acceptance criteria agents can validate
- Enforce architecture mechanically (structural tests, linting rules, dependency-layer checks) rather than through documentation alone
- Run weekly entropy-management sweeps using background Claude Code tasks to maintain codebase coherence
- Mentor engineers on prompt-driven TDD, multi-agent orchestration, and Claude Desktop / Cowork workflows
- Report migration velocity, agent utilisation, and risk to stakeholders
You Bring
- 8 -10 years software engineering; 5+ years leading delivery teams
- Deep AWS and Azure serverless experience (Lambda Functions, DynamoDB Cosmos DB, Step Functions Durable Functions)
- Hands-on Claude Code, Claude Desktop, and Cowork proficiency
- Track record of building developer tooling, CI/CD pipelines, or platform engineering
