Senior Platform Engineer in London

Our Story

Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com!

We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces.

If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count.

The Team

Cloud Infrastructure sits within Zopa’s Platform Tribe alongside DBA and DevX colleagues. We build the foundations that help engineering teams deliver reliable, secure products with confidence. We are at the beginning of a meaningful transformation: moving from infrastructure that is primarily operated for teams towards a platform that engineers can increasingly use through clear, self-service capabilities. This role will help shape the standards, guardrails and developer experience that make that possible.

A Day In The Life:

• Design and evolve reliable cloud platform capabilities for engineering teams.
• Improve AWS, Kubernetes, Terraform, CI/CD, monitoring and operational patterns.
• Partner with engineers to understand needs and make safe, maintainable choices.
• Take ownership of work from problem definition through delivery and learning.
• Strengthen observability, resilience, security and incident readiness.
• Help build reusable tooling, guardrails and self-service foundations.
• Contribute to platform standards across Cloud Infrastructure, DBA and DevX.
• Support business-critical services through the shared on-call rota.

About You:

• Strong hands-on AWS platform engineering experience in production environments.
• Practical Kubernetes/EKS, Docker, Terraform and Helm experience.
• Strong CI/CD experience, particularly GitHub Actions, and reusable-pipeline thinking.
• Experience with logging and monitoring, networking and protocols, scripting, secrets management and service discovery.
• Exposure to both AWS and Kubernetes, with sound coding experience.
• Evidence of designing secure, reliable and maintainable platform solutions.
• Autonomous delivery and constructive collaboration with application engineers.
• Experience supporting business-critical services through an on-call rota.

Added Bonus:

• Experience with Honeycomb, OpenTelemetry, Prometheus, Splunk, including SLO-led practices.
• Pragmatic use of AI-assisted engineering tools to improve quality and productivity.

At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.

Diversity Statement

Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.

Our approach to AI in interviews

At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs. Because of that, we want to be transparent about how we think about AI use during our hiring process. Behavioural and competency-based interviews: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other. Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.