Engineering Lead

About this role

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Skills you'll use

What you'll do

• Technical Leadership
• Spend approximately half your time as a hands-on engineer: writing, reviewing and shipping production code to the same standard you hold your team to.
• Own the technical direction of your stream — architecture decisions, technology choices, design patterns and code standards.
• Set and maintain the engineering quality bar: code review standards, test coverage expectations, CI/CD discipline, observability and security practice.
• Identify and address technical debt proactively, balancing pragmatism with the long-term health of the codebase.
• Contribute to platform-wide architectural decisions, feeding your stream’s experience and evidence back into broader engineering strategy.
• People Leadership
• Own the performance, development and wellbeing of up to eight engineers across your streams.
• Run regular 1:1s, set clear goals, and give direct, actionable feedback — both positive and developmental.
• Manage the full performance cycle for your engineers: goal setting, mid-year reviews, end-of-year assessments and, where necessary, performance improvement plans.

Who can apply

• Before the tech stack, this is what working in the F&B engineering team looks like. As a Lead Software Engineer you are expected to model these standards, not just meet them.
• AI tooling is your default starting point, not a fallback — Copilot, Claude Code, Devin, Cursor or equivalent are open before you write the first line.
• You use AI pervasively across the full development lifecycle: generating and reviewing code, writing tests, producing documentation, triaging incidents and researching unfamiliar domains.
• You can prompt effectively — you know how to get useful output, iterate on it, and critically evaluate what comes back rather than accepting it at face value.
• You treat AI-generated code with the same scrutiny as code from a colleague — it gets reviewed, tested and owned by you.
• You actively embed AI working practices into your team — through standards, playbooks, code review culture and leading by example.
• You improve your AI working practices continuously and bring the team with you; this field moves fast and standing still is falling behind.
• Expect your interview process to include assessment on how you work with AI tooling — not just what you know without it. Come prepared to demonstrate your workflow, not just talk about it.
• Technical Foundation
• The fundamentals are non-negotiable — your technical credibility is what earns the trust of your engineers.

About The Access Group

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