Deliveroo - Software Engineer II (Backend)
Requirements
• Strong engineering fundamentals - you've built and shipped software that runs at scale, and you understand what that entails: testing, observability, reliability, and maintainability. • Genuine enthusiasm for AI-first development. You use AI tools daily and have formed real opinions about how to get the most out of them. • Ownership mentality: you drive projects forward, communicate clearly across teams and time zones, and don't wait to be told what to do. • Collaborative instincts - the Subscriptions domain sits at the intersection of consumer mobile, web, backend, and data. Cross-functional work is the norm, not the exception.
Benefits
• An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship. • Real ownership, real impact. Our subscription programmes are touching millions of users daily. You'll own features end-to-end - from the idea through production - and see your work matter at scale. • Cross-org engineering at the frontier. Deliveroo, DoorDash and Wolt are working together in order to align subscription experiences across three of the world's leading delivery platforms. This is engineering at the intersection of product ambition and international complexity. • A small team that punches above its weight. We're a cross-functional team: Backend, Mobile, Web, Product, Design, and Data - all in the same room. No handoff theatre. You'll move fast, ship iteratively, and be around people who take craft seriously. • 🤖 AI-First Engineering - What This Means Here • We're building teams at the forefront of agentic coding. This isn't about using Copilot to autocomplete boilerplate. We mean engineers who: • Design workflows where AI agents handle entire task loops, from spec to PR. • Think in terms of orchestration: what does a human review, what does the agent own? • Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team. • Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype. • If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in.
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