Description

You will manage and optimize distributed caching and compute grid solutions within Kubernetes and OpenShift environments.

This role is hybrid.

Responsibilities

• Design and optimize distributed caching and compute grid solutions on Kubernetes and OpenShift.
• Implement high-throughput compute grids using technologies such as Apache Ignite, GridGain, or Coherence.
• Ensure high availability, scalability, and reliability of distributed systems.
• Automate infrastructure provisioning and deployments using Ansible and Helm charts.
• Troubleshoot and resolve incidents related to platforms, infrastructure, and distributed caching to minimize downtime.

Required Skills

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

Preferred Skills

• Experience with Apache Ignite, GridGain, or Coherence.

Key Skills

Education

Any Graduate