Lead DevOps Engineer

We are looking for a seasoned Lead DevOps / Site Reliability Engineer to own and evolve our cloud infrastructure on Google Cloud Platform (GCP). You will work at the intersection of software engineering and operations, building highly reliable, scalable, and observable systems that power our products. As a lead, you will mentor engineers, drive architectural decisions, and champion a culture of reliability and continuous improvement across the engineering organisation.

Responsibilities:

• Design, implement, and maintain GCP-based infrastructure using IaC tools such as Terraform and Deployment Manager.
• Build and optimise CI/CD pipelines (Cloud Build, GitHub Actions, ArgoCD, or equivalent).
• Define and enforce SLOs, SLIs, and error budgets; lead incident response and post-mortems.
• Manage Kubernetes (GKE) cluster autoscaling, upgrades, network policies, and workload security.
• Establish observability standards using tools such as Cloud Monitoring, Prometheus, Grafana, and Loki.
• Drive capacity planning, cost optimisation, and cloud spend governance across GCP projects.
• Champion security best practices: IAM least-privilege, secret management (Secret Manager / Vault), VPC design.
• Collaborate closely with platform, backend, and data engineering teams to deliver reliable deployments.
• Mentor junior and mid-level DevOps/SRE engineers; conduct code and design reviews.
• Evaluate and introduce new tooling to improve developer experience and system reliability.

Requirements:

• 6+ years of experience in DevOps, SRE, or infrastructure engineering roles.
• Hands-on expertise with Google Cloud Platform Compute Engine, GKE, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, VPC, and IAM.
• Strong proficiency in Infrastructure as Code Terraform (preferred) or Pulumi.
• Deep experience with Kubernetes/GKE: Helm, Kustomize, namespaces, RBAC, network policies.
• Proficiency in at least one scripting/programming language: Python, Go, or Bash.
• Proven track record designing and operating large-scale CI/CD pipelines.
• Strong understanding of Linux internals, networking (DNS, TCP/IP, TLS), and distributed systems.
• Experience defining SLOs and running incident management (on-call, RCA, post-mortems).

Preferred Qualifications:

• Google Cloud Professional certifications (Cloud DevOps Engineer, Cloud Architect, or equivalent).
• Familiarity with GitOps workflows using ArgoCD or Flux.
• Knowledge of data infrastructure on GCP BigQuery, Dataflow, and Dataproc.
• Prior experience in a lead or staff-level role with mentorship responsibilities.
• Exposure to FinOps practices and GCP cost management tools.