Description

In this role, you will manage Kubernetes clusters, ensuring their reliability and performance. Your daily responsibilities will include troubleshooting issues, automating processes, and collaborating with teams to enhance the cloud infrastructure.

Requirements

• •6+ years of experience in SRE, operations engineer, or similar role
• •Strong programming skills in Go and Python
• •Proven experience operating Kubernetes clusters in production environments
• •Ability to work independently or as part of a team
• •Ability to work with customers during incidents
• •Familiarity with observability tools like Prometheus, Grafana, FluentBit
• •Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API
• •Deep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience
• •Exposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters
• •Hybrid or multi-cloud Kubernetes environment experience
• •Contributions to CNCF projects or Kubernetes SIGs
• •Diversity of backgrounds, experiences, and skills welcomed

Tasks

• •Operate and maintain bare-metal Kubernetes clusters
• •Handle cluster degradation, recovery, resizing, and incident response
• •Participate in a well-managed on-call rotation for critical incidents
• •Assist customers with Kubernetes questions and workload integration
• •Collaborate with HPC Ops and Datacenter Ops teams on cross-functional issues
• •Use Python and Golang to create tooling and automate platform validation
• •Design, build, and maintain scalable control plane services and custom controllers
• •Develop automation for cluster lifecycle management, including provisioning and upgrades
• •Define and implement SLOs and SLIs for Kubernetes services and platform reliability

Tools & Technologies

Benefits