Enterprise OpenShift Architect

5 days ago


Alwar, Rajasthan, India beBeeOpenShift Full time ₹ 80,00,000 - ₹ 1,50,00,000
Senior OpenShift / Kubernetes Architect

We are seeking a highly skilled and experienced Senior OpenShift / Kubernetes Architect with expertise in designing, deploying, and managing enterprise-scale OpenShift (OCP) clusters across production and lab environments.

The role involves hands-on technical implementation, documentation, and knowledge transfer. Our ideal candidate will have strong expertise in OCP cluster deployment, air-gapped enterprise-grade deployments, and hands-on experience with HPE Synergy / Blade infrastructure.

The key responsibilities include:

  • Cluster Deployment & Architecture
    • Design and implement RedHat OpenShift clusters across Production and LAB environments.
    • Setup of air-gapped OCP installation on HPE Synergy 480 Gen 11 (Production) and HPE BL460c Gen 10 (LAB).
    • Build 4 OCP clusters (Production Site-1, Production Site-2, LAB1, LAB2) with 3 master nodes and N worker nodes in each.
    • Develop High-Level Design (HLD) and Low-Level Design (LLD) documentation for OCP deployment.
    • Configure Multus (CNI) for external IP communication and Portworx (CSI plugin) for database nodes.
    • Implement geo-redundancy and failover strategies.
  • Security & Best Practices
    • Apply CIS Security Hardening for Kubernetes and underlying nodes.
    • Implement RBAC, image policies, Kubernetes security policies, and certificate management.
    • Setup Ingress controllers, API server configurations, and HA Proxy load balancing with SSL and KeepAlive.
  • Networking & Infrastructure
    • Configure DNS, DHCP, NTP (Chrony) for cluster networking.
    • Integrate Kubernetes clusters with network switches and SAN storage.
    • Implement SNMP alerting and monitoring.
  • Storage & Logging
    • Setup Portworx for persistent storage.
    • Deploy and configure Container Registry (Quay).
    • Integrate Elasticsearch + Kibana for application logs.
    • Configure Rsyslog for node log forwarding, archival policies, and external log analyzer integration.
    • Support sidecar containers (e.g., Logstash) for centralized log forwarding.
  • Monitoring & Observability
    • Deploy Prometheus & Grafana dashboards for monitoring cluster resources (CPU, Memory, Disk, Network).
    • Configure alerts for node, pod, and persistent storage.
    • Ensure continuous monitoring of infra and application workloads.
  • Cluster Administration & Operations
    • Perform installation, upgrades, and patching at node and Kubernetes level.
    • Manage backup & restore processes (ETCD snapshots, import/export backups).
    • Validate cluster health via test deployments and functional checks.
    • Support application deployments & ATP post-migration tests.
    • Support Couchbase, Portworx, and other middleware installations on Kubernetes.
  • Documentation & Knowledge Transfer
    • Prepare HLD, LLD, MOPs for production deployments.
    • Provide end-to-end documentation of the deployed platform.
    • Conduct training and knowledge transfer sessions for internal teams.

We are looking for an exceptional individual to take on this critical role. The ideal candidate will possess a deep understanding of Kubernetes and OpenShift, as well as hands-on experience with HPE Synergy/Blade infrastructure.

Key qualifications for this position include:

  • 7+ years of experience in Kubernetes, OpenShift, and containerized environments.
  • Strong expertise in OCP cluster deployment (air-gapped, enterprise-grade).
  • Hands-on experience with HPE Synergy/Blade infrastructure.
  • Proficiency in Networking (DNS, DHCP, HA Proxy, NTP, Multus CNI).
  • Experience with Storage solutions (Portworx, SAN integration, CSI drivers).
  • Solid understanding of Monitoring tools (Prometheus, Grafana, SNMP).
  • Expertise in Logging solutions (Rsyslog, Elasticsearch, Kibana, Logstash).
  • Strong knowledge of Kubernetes security, RBAC, CIS benchmarks.
  • Experience with Container Registry management (Quay/Harbor).
  • Familiarity with application deployment using Helm.
  • Strong troubleshooting, problem-solving, and performance optimization skills.
  • Excellent communication and documentation skills.


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