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Zopa is a fintech company founded in 2005 as the first peer-to-peer lending platform, and launched Zopa Bank in 2020 to redefine banking by putting customers first. The company has been recognized as one of the UK's Most Loved Workplaces.
As a Senior Platform Engineer, you will design and evolve reliable cloud platform capabilities that serve the engineering teams across the organization. Your responsibilities include:
• 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 their needs and make safe, maintainable architectural choices
• Take ownership of work from problem definition through delivery and learning
• Strengthen observability, resilience, security and incident readiness across the platform
• Help build reusable tooling, guardrails and self-service foundations
• Contribute to platform standards across Cloud Infrastructure, DBA and DevX domains
• Support business-critical services through the shared on-call rotation
This is a hybrid role based in London, requiring 2-3 days per week in the office. You'll have the flexibility to work from abroad for up to 120 days per year (subject to work authorization).
Requirements:
• 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, with 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 rotation
Bonus qualifications:
• Experience with Honeycomb, OpenTelemetry, Prometheus, Splunk, including SLO-led practices
• Pragmatic use of AI-assisted engineering tools to improve quality and productivity
