Senior DevOps / Platform Engineer

RainTech

About This Role

• •Manage RKE2 Kubernetes clusters across multiple node roles (control plane, compute workers, GPU workers, storage nodes), including cluster bootstrapping, upgrades, etcd backup and restore, and node lifecycle management
• •Build and maintain GitOps pipelines using ArgoCD and GitLab CI/CD: Helm chart packaging, image promotion workflows (dev to staging to production), and environment-specific configuration management
• •Operate and configure platform services: Kong (API gateway), Keycloak (identity), Vault (secrets), and GitLab (CI/CD and container registry)
• •Implement observability: Prometheus for metrics, Grafana for dashboards, centralized logging (Loki or Elasticsearch), and alerting with on-call routing
• •Manage Ceph integration at the Kubernetes level: CSI driver, StorageClass definitions, and PVC troubleshooting
• •Manage GPU workload scheduling: NVIDIA device plugin, resource quotas for GPU pods, and utilization monitoring
• •Automate operational tasks: certificate rotation, secret rotation, backup verification, and capacity planning
• •Collaborate closely with backend engineering teams to design, deploy, troubleshoot, and optimize applications running on Kubernetes and the supporting infrastructure stack.

What We're Looking For

• ✓5+ years in DevOps, SRE, or Platform engineering, with at least 2 years managing self-hosted production Kubernetes clusters (not managed K8s)
• ✓Strong software engineering background, preferably in backend development, with a solid understanding of application architecture and software development lifecycle (SDLC).
• ✓At least 2–3 years of hands-on experience operating self-managed Kubernetes clusters in production (RKE2, kubeadm, or equivalent), not limited to managed Kubernetes services such as EKS, GKE, or AKS.
• ✓Strong understanding of core infrastructure components, including databases, message brokers, container registries, storage systems, and deployment automation.
• ✓Able to troubleshoot application and infrastructure issues across the full platform stack.
• ✓Has operated stateful workloads on Kubernetes in production (databases, Kafka, Ceph, or equivalent)
• ✓Production experience operating at least one of: Kong, Keycloak, Vault, or equivalent service in each category (API gateway, identity provider, secret manager)
• ✓Has built CI/CD pipelines from scratch for a team of 5+ engineers using GitLab CI or equivalent
• ✓Has authored Helm charts and deployed applications through ArgoCD or equivalent GitOps tooling
• ✓Preferred
• ✓Experience with Thanos or Cortex for long-term Prometheus metric storage
• ✓Direct experience with Ceph CSI or Rook-Ceph on Kubernetes
• ✓Has managed GPU workloads on Kubernetes (NVIDIA device plugin)
• ✓NetworkPolicy design experience with Calico or Cilium
• ✓Terraform experience for infrastructure-as-code
• ✓Experience working closely with backend engineering teams and supporting production application deployments.
• ✓Experience administering self-hosted Kubernetes environments rather than primarily managed cloud Kubernetes services.