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
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Own and evolve the claude_code_forge scaffolding — repo structure, CLAUDE.md templates, creating agents, MCP tool configs, and custom slash commands
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Decompose the AWS estate into depth-first migration work-packages with clear acceptance criteria agents can validate
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Enforce architecture mechanically (structural tests, linting rules, dependency-layer checks) rather than through documentation alone
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Run weekly entropy-management sweeps using background Claude Code tasks to maintain codebase coherence
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Mentor engineers on prompt-driven TDD, multi-agent orchestration, and Claude Desktop / Cowork workflows
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Report migration velocity, agent utilisation, and risk to stakeholders
You Bring
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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)
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Hands-on Claude Code, Claude Desktop, and Cowork proficiency
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Track record of building developer tooling, CI/CD pipelines, or platform engineering
