Platform Engineer
Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 8, 2026. Zopa scores A on the Alion truth index.
The Team
Cloud Infrastructure is part of Zopa’s Platform Tribe, working alongside DBA and DevX colleagues. Our customers are the engineers who build Zopa’s products, and we are making it easier for them to deliver safely and independently.
In the near term, the team is completing a major migration. Beyond that, we are bringing platform capabilities together and creating more self-service tooling and clear engineering guardrails.
You will join early enough to make a tangible contribution to how the platform evolves, not simply maintain what already exists.
A Day In The Life:
Own delivery of meaningful cloud infrastructure and migration work.
Build and improve infrastructure-as-code, containersand cloud automation.
Work with engineers to understand needs and improve the developer experience.
Help make platform services secure, reliable, observableand maintainable.
Learn and apply Zopa’s AWS, Kubernetesand CI/CD patterns.
Contribute to shared standards, documentation, code reviewand continuous improvement.
Support business-criticalservices through the shared on-call rota.
About You:
Practical cloud experience in AWS, GCP, Azureor another major cloud environment.
Container experience, such as Kubernetes or ECS.
Infrastructure-as-code experience, ideally Terraform or a comparable tool.
Experience contributing to CI/CD and reliable software delivery.
Ability to take ownership of a project with support and work through ambiguity.
A collaborative approach to enabling application engineers and improving their experience.
Evidence of quality thinking across reliability, maintainability, securityand operational readiness.
Experience participatingin an on-call rotaor supporting production services.
Added Bonus:
AWS experience and exposure to Kubernetes/EKS, Terraform, Helm and GitHub Actions.
Experience with service discovery, secretsmanagement, networking, monitoringor scripting.
Observability tooling such as Honeycomb, OpenTelemetry, Prometheus, Splunk.
Pragmatic use of AI-assisted engineering tools.