Senior Consultant

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