Experience: 4 - 6 Years
Role: Full time / Permanent role
Job Description:
Roles & Responsibilities:
- Ideal Candidate Hands-on SRE with deep OpenShift/container expertise who can independently troubleshoot issues across application, database, networking, observability, workflow orchestration, and GPU infrastructure layers while driving reliability, automation, and operational excellence.
- OpenShift or Kubernetes certification. Experience supporting large-scale distributed systems
- 5+ years of experience in Site Reliability Engineering (SRE), Production Support, Platform Engineering
Key Responsibilities:
• Own the reliability, availability, and performance of applications running on Red Hat OpenShift and Kubernetes platforms in production environments.
• Independently troubleshoot and resolve complex incidents across application, database, networking, observability, workflow orchestration, and GPU infrastructure layers.
• Administer and support OpenShift clusters, including deployments, pods, services, routes, operators, namespaces, resource quotas, and cluster upgrades.
• Lead incident response, perform root cause analysis (RCA), and drive permanent fixes and post-incident improvements.
• Define, monitor, and improve SLIs, SLOs, and error budgets to ensure services meet reliability targets.
• Build and maintain monitoring, logging, and alerting using tools such as Prometheus, Grafana, Splunk, ELK/EFK, or Dynatrace.
• Automate repetitive operational tasks and reduce toil using scripting (Shell, Python) and infrastructure-as-code tools (Ansible, Terraform, Helm).
• Support and improve CI/CD pipelines (Jenkins, GitHub Actions, Tekton, ArgoCD) for safe and repeatable deployments.
• Support workflow orchestration platforms (e.g., Airflow, Argo Workflows, Control-M) and troubleshoot job failures and scheduling issues.
• Support GPU-enabled workloads on OpenShift/Kubernetes, including NVIDIA GPU Operator, node configuration, and capacity monitoring.
• Investigate database-related issues (e.g., Oracle, PostgreSQL, MongoDB) such as connectivity, performance, and capacity.
• Diagnose networking issues including DNS, load balancers, ingress/egress, network policies, TLS/certificates, and service mesh.
• Perform capacity planning, performance tuning, and scaling of containerized workloads.
• Create and maintain runbooks, SOPs, and knowledge base articles; participate in on-call rotation.
• Partner with development, platform, security, and infrastructure teams to improve system resilience and operational excellence.
