Senior Site Reliability Engineer

As a Site Reliability Engineer at Epidemic Sound, you will be a core member of the central platform team that builds and operates the platform the rest of Engineering ships on - keeping it reliable, scalable, and secure is what this team exists to do. This is infrastructure-flavoured software engineering: you will write the code that defines and automates the platform, and treat it as a product whose customers are the rest of Engineering. The goal is to make the reliable way the easy way - self-service paths that let product teams build and ship safely without waiting for anyone.

Your key responsibilities include

• Build and operate the platform our services run on - GKE clusters, the controllers that extend them, and the Terraform that defines our cloud.
• Own the path from commit to production - CI/CD, GitOps, and the progressive-delivery patterns that turn a merge into a safe release.
• Strengthen the networking and routing layer - traffic management on top of the VPC, firewalls, and network policies that keep it safe and predictable.
• Govern access and guardrails - IAM across every layer, policy-as-code, and break-glass paths - so teams move fast within safe defaults rather than waiting on tickets.
• Grow reliability and observability - alert hygiene, runbooks, SLOs, and the metrics and tracing that show how the platform behaves in production.
• Enable product teams and raise the bar - make production readiness the default, and drive healthy adoption of the standards and docs you would rather share than gatekeep.

Requirements

• Kubernetes fundamentals: a solid grasp of controllers, core components, and CNI and networking - depth in the domain matters more than any single tool (GKE a plus).
• Infrastructure as code and delivery: Terraform, Helm or Kustomize, CI/CD and GitOps (ArgoCD), and the traffic-management and progressive-delivery mechanisms that move releases out safely.
• Networking and access: routing fundamentals, the VPC, firewall, and network-policy primitives beneath it, and IAM and access management at different levels.
• Operational depth: monitoring fundamentals (a clear view of when to reach for metrics versus tracing, and experience with an open-source observability stack), strong troubleshooting across distributed systems, and solid Unix/Linux.
• Agentic development mindset: you use AI agents actively in your own work, knowing where they add leverage and where human judgement is non-negotiable.
• Collaboration and judgement: you do your best work on large, cross-cutting projects, communicate openly, and stay opinionated but open to discussion - reaching for the right tool over your own creation.

It would also be music to our ears if you have

• Familiarity with GCP and an observability stack with Prometheus, Thanos, and Grafana.
• Experience running containerised platforms at scale.
• Service mesh experience with Cilium eBPF, Linkerd, or Istio.
• Familiarity with platform building blocks like cert-manager, external-secrets, or external-dns.