Description

Design and optimize distributed caching and compute grid solutions on Kubernetes and OpenShift.

This role is hybrid.

Responsibilities

• Design and implement high-throughput compute grid solutions and distributed systems.
• Optimize application performance through load balancing, parallel compute strategies, and efficient data distribution.
• Manage observability, logging, and monitoring to ensure system reliability and high availability.
• Automate infrastructure provisioning and deployments using Ansible and Helm.
• Troubleshoot and resolve incidents across platform, infrastructure, and distributed compute layers.

Required Skills

• 5+ years of experience in site reliability or operations engineering.
• Extensive experience with Kubernetes, including OpenShift and on-prem or cloud clusters.
• Proficiency in Java, Go, or Python.
• Hands-on experience with containerization tools including Docker and Helm.
• Experience implementing observability stacks using Prometheus, Grafana, ELK, Loki, or Jaeger.
• Strong knowledge of CI/CD pipelines using Jenkins, ArgoCD, or GitHub Actions.
• Understanding of networking, service meshes like Istio or Linkerd, and Kubernetes security.
• Experience managing multi-cluster and hybrid cloud Kubernetes deployments.

Preferred Skills

• Experience with baremetal cloud environments.

Key Skills

Education

Any Graduate