Platform Engineer

Platform Engineer Department:
Technology / Engineering Reporting to:
Platform Engineering Tech Lead / Manager

Location:

Hybrid - Office travel on average once per month, London Waterloo Also participate in an on-call rota, covering one week every six weeks

Fair Play Sports Media is building a tech-led, AI and data-powered sports media network that serves both owned brands (e.g., oddschecker, , Super Scommesse, and others) and partners with Bet Tech products spanning data, display, and predictive capabilities. At Fair Play scale - real-time data, high-frequency updates, and partner integrations - the Platform team provides the infrastructure, delivery pipelines, and observability that let multiple engineering teams ship and operate reliable, compliant, high-throughput products.

Our busiest moments - major sporting events, new market launches, and B2B partner go-lives - are when the platform matters most, and the Platform team makes sure the foundations hold.

We are looking for a hands-on, pragmatic Platform Engineer (Dev Ops / Infrastructure) to own and deliver components within our Google Cloud Platform estate - across CI/CD, infrastructure-as-code, observability, and Kubernetes-based workloads. You’ll take part in the on-call rotation, automate away operational toil, apply secure-by-default practices to everything you build, and support product development squads with the environments, pipelines, and tooling they need to move quickly and safely.

You’ll work with limited oversight on 2–3 month pieces of work and contribute to larger initiatives led by Senior engineers.

• Cloud Infrastructure:
  Design, build, and operate GCP infrastructure (Compute Engine, GKE, Cloud Load Balancing, Cloud SQL, Memory store, Pub/Sub, Cloud Storage, VPC networking) as Terraform, following and contributing to the team’s shared modules and standards.
• Kubernetes Workloads:
  Deploy and run services on GKE - workloads, networking, storage, autoscaling, and Helm-based configuration - and help product development squads containerise and operate their applications well.
• CI/CD:
  Build and maintain Git Lab CI pipelines: artifact management, environment promotion, and safe deployment strategies (blue/green, canary, rollback), with policy and security checks baked in.
• Developer Experience & Automation:
  Identify toil and remove it with Python, Go, or Bash tooling; improve self-service for product development squads (environments, access, deployments).
• AI-assisted Engineering:
  Use Claude Code and adjacent tooling deliberately as part of day-to-day work - managing context, using sub-agents for investigation and adversarial review, and writing reusable skills (prompt-driven automations) for repeat tasks.

• Observability:
  Build and maintain metrics, logging, tracing, dashboards, and alerting (Google Cloud Operations Suite, Prometheus/Grafana, Open Telemetry or equivalents) for the components you own; define and track SLIs/SLOs.
• On-Call & Incident Response:
  Take part in a week-long 24hr on-call rotation: respond to escalations from product teams and to platform-owned alerts; triage, mitigate, and elevate following our incident process. On-call duties and escalations are additionally compensated via callout pay.
• Runbooks & Post-Incident Reviews:
  Write and maintain accurate runbooks; contribute to blameless post-incident reviews and see durable follow-up actions through to completion.
• Production Readiness:
  Factor upcoming critical business events - peak sporting fixtures, market launches, B2B go-lives - into your work, and support load testing, capacity, and failover checks led by Senior engineers.

• Identi…