Senior​/Lead OpenShift Engineer

Work Experience:10+ years of IT experience with 5+ years in Open Shift platform engineering.

• Extensive hands-on experience with multi-cluster Open Shift environments.
• Proven experience handling large-scale, mission-critical production platforms.
• Strong troubleshooting experience across:
  • Kubernetes core components
  • Open Shift control plane
  • Networking (SDN/OVN, ingress, load balancers)
  • Persistent storage solutions
• Experience leading critical incident management calls.
• Strong scripting and automation skills (Bash, Python, etc.).
• Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments.
• Deep understanding of container security and cluster hardening.
• Experience with Open Shift upgrades across major versions (Preferred).
• Experience with service mesh and advanced networking configurations (Preferred).
• Knowledge of Git Ops frameworks (Preferred).
• Experience designing DR and multi-region failover strategies (Preferred).
• Relevant certifications:
  Open Shift, Kubernetes, Cloud (Preferred).
• Key
  
  Competencies:
  
  Leadership under pressure, strategic thinking, strong decision-making ability, high ownership and accountability, excellent communication skills, proactive risk management mindset.

Qualifications:Bachelor’s degree in Technology, Engineering, Computer Science, Computer Applications, or equivalent work experience.

• Design, deploy, and manage multiple Open Shift clusters (production, DR, staging) across hybrid/cloud/on-prem environments.
• Architect scalable, resilient, and secure Open Shift platforms supporting high workloads and large resource counts (thousands of pods, services, name spaces, etc.).
• Lead cluster lifecycle management including upgrades, patching, capacity planning, and performance optimization.
• Ensure high availability, disaster recovery readiness, and zero/near-zero downtime deployments.

• Act as technical lead during P1/P0 critical production incidents
  , driving war-room calls and root cause analysis.
• Resolve cluster-wide outages, control plane failures, networking breakdowns, storage issues, and performance bottlenecks.
• Develop and implement preventive measures and post-incident action plans.
• Establish operational runbooks and SRE best practices.

• Manage environments with high resource volume (large node counts, high pod density, heavy traffic workloads).
• Design cluster scaling strategies including autoscaling, node pools, and workload balancing.
• Conduct stress testing and performance benchmarking.

• Implement enterprise security controls (RBAC, SCC, network policies, TLS, IAM integration).
• Manage vulnerability, remediation, and cluster hardening.
• Ensure compliance with regulatory and organizational security standards.

• Implement cluster monitoring and logging solutions.
• Proactively monitor cluster health and application performance.
• Establish SLOs, SLAs, and error budgets.
• Lead and mentor platform engineers and Application teams.
• Provide technical governance and architectural direction.
• Collaborate with application teams, security teams, and infrastructure teams.
• Participate in capacity planning and executive-level technical discussions.
• Drive continuous improvement initiatives across platform engineering.