Infrastructure Engineer
Purple Drive
Overview: Job Summary We are seeking a hands-on Infrastructure Engineer with strong experience in deploying, operating, and scaling Kubernetes clusters on bare-metal physical servers . This role requires deep expertise in cluster provisioning, storage, monitoring, and maintaining high reliability in on-premises Kubernetes environments. Note: This is not a cloud engineering role - the ideal candidate must have strong rack/stack and physical infrastructure experience. Key Responsibilities
- Build, deploy, and maintain Kubernetes clusters on physical servers .
- Perform rack/stack, cabling, hardware setup , and infrastructure bring-up activities.
- Manage provisioning workflows including bootstrapping nodes, networking configurations, load balancers , and cluster dependencies.
- Configure and optimize storage solutions for Kubernetes (Ceph, local PVs, distributed storage, etc.).
- Implement monitoring, alerting, and cluster health dashboards for reliability and uptime.
- Troubleshoot node failures, network issues, cluster degradation, and performance bottlenecks.
- Automate infrastructure lifecycle using Infrastructure-as-Code (IaC) tools such as Terraform and Ansible .
- Maintain cluster security, RBAC policies, certificate rotation, and secure deployment workflows.
- Collaborate with platform, hardware, and DevOps teams to ensure end-to-end infrastructure stability.
- Document procedures, architecture diagrams, and operational best practices.
- 6-8 years of experience as an Infrastructure Engineer / Systems Engineer .
- Strong hands-on experience with Kubernetes on physical servers (bare-metal) .
- Experience with rack & stack , server deployment, and physical datacenter operations.
- Proficiency in Terraform for infrastructure provisioning.
- Proficiency in Ansible for configuration management and automation.
- Strong understanding of Linux system internals, networking, and storage subsystems.
- Experience with monitoring tools (Prometheus, Grafana, ELK, etc.) and log aggregation.
- Strong troubleshooting experience on production clusters.
- Experience with distributed storage systems (Ceph, Longhorn, Rook, etc.).
- Knowledge of service mesh technologies (Istio, Linkerd).
- Familiarity with container runtimes, CRI-O, containerd, or Docker.
- Experience with hardware provisioning tools (iLO, IPMI, Redfish).
- Scripting experience (Python, Bash, Go is a plus).
- Exposure to security hardening, CIS benchmarks, and compliance frameworks.
Vacancy posted 3 days ago
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