Description

You will manage and optimize Kubernetes-based distributed caching and compute grid systems to ensure high availability and scalability.

This role is on-site.

Responsibilities

• Design, build, and enhance distributed caching and compute grid solutions on Kubernetes and OpenShift.
• Orchestrate microservices and container workloads using Docker and Helm.
• Implement observability and monitoring frameworks using Prometheus, Grafana, ELK, or OpenTelemetry.
• Automate infrastructure provisioning and deployments using Ansible and Helm Charts.
• Troubleshoot complex system and infrastructure issues within Kubernetes environments.

Required Skills

• 5+ years of experience in infrastructure or site reliability engineering.
• Deep expertise with Kubernetes and OpenShift in on-prem and cloud environments.
• Proficiency in Java, Go, or Python.
• Hands-on experience with Docker and Helm.
• Proven experience with CI/CD tools (Jenkins, ArgoCD, GitHub Actions) and pipeline integration.
• Expertise with observability tools: Prometheus, Grafana, Loki, and Jaeger.
• Experience with service meshes such as Istio or Linkerd.
• Knowledge of multi-cluster and hybrid cloud Kubernetes deployments.

Preferred Skills

• Experience with high-performance computing platforms or grid computing frameworks.
• Familiarity with distributed caching strategies and data sharding.
• Relevant certifications such as CKAD, CKA, or Red Hat Certified Specialist in OpenShift.

Key Skills

Education

Any Gradute