Staff Frontend Engineer
Motorway
πŸ“ London Posted Sep 26, 2026 Β· Source: Arbeitnow
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About Motorway

Motorway is the UK's largest online car-selling platform. We connect private sellers directly with over 8,000 dealers nationwide. Our online platform helps sellers achieve great prices for their cars while giving dealers fast, reliable access to the stock they want for their dealerships. Founded in 2017, our award-winning, technology-led approach has redefined the experience of selling a car. Motorway is backed by some of the world’s leading technology investors, having raised Β£143 million in Series C funding.

This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better.

We're looking for a Staff Frontend Engineer to help lead technically across our frontend engineering. You'll work across a group of cross-functional squads, each made up of engineers, designers, data analysts and a product manager, helping them move quickly and safely, resolving the engineering problems that span teams before they compound into systemic risk, and shaping product and business strategy with a technically-grounded, commercially-aware point of view.

We're a TypeScript-first organisation. Our frontend stack is TypeScript and React, styled with SCSS, server-side rendered with Next.js and Express, and tested with Vitest & Chromatic. As a Staff engineer you'll bring deep expertise with the latest native web technologies and modern frameworks, drive consistency across all of our web properties, and lead the migration efforts that keep our stack current, not just bumping versions, but making use of the new capabilities each release brings and helping the wider department do the same.

At Motorway, we know the importance of delivering high-quality, valuable solutions quickly, and we recognise the ability for AI tools and agents to accelerate our work. We provide our engineers with access to the latest models through Kiro. As a Staff engineer you'll define and lead our AI engineering practice on the frontend, setting standards for agent execution environments, quality harnesses, and guardrail architecture - and build a team norm where domain depth, AI-enabled breadth, and rigorous feedback-loop design are treated as complementary.

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