DevOps Lead

Take complete ownership of the GCP infrastructure from the current outsourced team. Assess and improve the existing Terraform modules, state management and infrastructure architecture. Mature the GKE environment across workload identity, RBAC, namespace isolation, deployment health and autoscaling. Introduce stronger deployment and GitOps practices using tools such as Helm and ArgoCD where appropriate. Build and improve CI/CD workflows across GitHub Actions, GCP Cloud Build and Artifact Registry. Strengthen multi-tenant isolation across Kubernetes workloads, cloud services and data infrastructure. Provision and operate Cloud SQL, PostgreSQL, BigQuery, Pub/Sub and Memorystore. Design reliable message-driven infrastructure, including ordering, retries, dead-letter queues and workload prioritisation. Improve observability across metrics, logs, tracing, dashboards and alerting. Build multi-region resilience, automated failover, disaster recovery processes and incident runbooks. Provision and manage GPU infrastructure for production AI and agent workloads, including node pools, scheduling, quotas and cost control. Build agentic capabilities to support infrastructure operations, deployment and troubleshooting. Improve cloud security across IAM, networking, Secret Manager, Cloud KMS and Cloud Armor. Establish cost visibility, budget controls and per-tenant infrastructure tracking. Help hire and shape the future internal DevOps and Platform Engineering team. What we're looking for At least 10 years of experience across DevOps, SRE, Platform Engineering or cloud infrastructure. At least five years operating at a senior, technical-lead or platform-ownership level. Deep, hands-on production experience with GCP and GKE. Strong Terraform experience, including modules, state management and infrastructure architecture. Strong production Kubernetes and Docker experience. Experience building or materially improving an infrastructure platform from scratch or from an early version-one environment. Experience inheriting existing infrastructure, identifying technical debt and leading its modernisation. Strong CI/CD experience using GitHub Actions, GCP Cloud Build or comparable tooling. Production experience operating GPU infrastructure, ideally across scheduling, node pools, drivers, quotas, autoscaling and cost. Experience supporting multi-tenant SaaS infrastructure and tenant isolation. Strong understanding of cloud networking, including VPCs, firewalls, load balancers and DNS. Experience with observability, incident response, disaster recovery and production reliability. Comfortable remaining deeply hands-on while setting technical direction and preparing to build a team. #J-18808-Ljbffr