Senior Platform Engineer
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 8, 2026. Zopa scores B on the Alion truth index.
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, monitoringand 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, securityand incident readiness.
Help build reusable tooling, guardrailsand self-service foundations.
Contribute to platform standards across Cloud Infrastructure, DBA and DevX.
Support business-criticalservices 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, secretsmanagement and service discovery.
Exposure to both AWS and Kubernetes, with sound coding experience.
Evidence of designing secure, reliableand 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.