ABOUT US

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn’t take into account how well you actually drive.
That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.
From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do.
We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started.

ABOUT THE ROLE

We’re looking for a Lead Backend Engineer to help shape the future of Zego’s platforms and services. This role is ideal for someone who thrives on solving complex problems, working at scale, and acting as a technical leader within a cross-functional product team.
As a Lead Engineer at Zego, you’ll bring deep backend expertise driving delivery, influencing architecture, and mentoring others. You’ll play a key role in evolving our microservices ecosystem and ensuring we build software that’s resilient, scalable, and impactful.

WHAT YOU WILL BE DOING

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• You will be leading multiple engineers working in the same team or workstream and guiding their work to deliver user value and go after business opportunities.

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• Design, build and own Python microservices that power our insurance platform-secure, observable, and built for scale.

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• Drive architectural discussions and decisions across multiple teams, shaping the future of our backend systems.

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• Champion engineering excellence: testability, reliability, scalability, and clean code.

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• Collaborate with engineers, product managers, designers and data analysts to deliver user and business value fast.

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• Lead and coordinate the delivery of large, complex technical initiatives with clarity and impact.

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• Actively coach and mentor engineers- sharing context, feedback and support to raise the bar.

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• Identify problems, investigate root causes, and implement pragmatic solutions with autonomy.

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• Continuously improve how we work as a team: from CI/CD pipelines to incident response and everything in between.
  
  Stay curious about how AI can enhance our work, adopting tools and workflows that unlock better productivity and insight.

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