Site Reliability Engineer

Jobtailor; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Jobtailor is seeking a skilled Cloud Platform Engineer to build and operate the platform powering our services, including GKE clusters, controllers, and Terraform definitions.

You will own the path from commit to production with CI/CD and GitOps, strengthen networking and access controls, and drive reliability, observability, and production readiness across teams. Collaborate on large projects and balance AI-assisted work with human judgment.

Qualifications

• Experience with Kubernetes controllers, core components, and CNI networking.
• Proficiency with Terraform, Helm or Kustomize, CI/CD, and GitOps (ArgoCD).
• Solid understanding of VPCs, firewalls, network policies, and IAM.
• Strong Unix/Linux troubleshooting and monitoring fundamentals.
• Comfort with AI-assisted development and balanced human oversight.

Responsibilities

• Build and operate the platform: GKE clusters, controllers, Terraform.
• Own the path from commit to production: CI/CD, GitOps, safe releases.
• Strengthen networking and routing: VPC, firewalls, network policies.
• Govern access and guardrails: IAM, policy-as-code, break-glass paths.
• Grow reliability and observability: alerts, runbooks, SLOs, tracing.
• Enable product teams and raise the bar: ensure production readiness as default.

Skills

Kubernetes

CI/CD

GitOps

Observability

Unix/Linux

AI-assisted work

Collaboration

Tools

Terraform

Helm

Kustomize

ArgoCD

Job description

Responsibilities

• 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.