Kubernetes Support Engineer (L2/L3)

RackBank Datacenters Private Ltd.; Indore District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

RackBank Datacenters Private Ltd. seeks a seasoned Kubernetes Operations engineer to own the health of production GPU-enabled clusters. You will manage Kubernetes on GPU nodes, Ceph-backed storage, and related cloud-native components, ensuring stability, patching, and proactive issue resolution.

You will deploy Kubernetes on new GPU clusters, set up GPU Operator and network operators, and automate repeatable builds. Experience with RBAC, monitoring, and disaster recovery is essential.

Qualifications

• 4+ years of Linux administration (Ubuntu preferred).
• 2+ years running Kubernetes in production.
• Built at least one Kubernetes cluster from scratch.

Responsibilities

• Maintain day-to-day health of production Kubernetes clusters and nodes.
• Plan and execute Kubernetes upgrades with rollback and minimal downtime.
• Troubleshoot pod failures, scheduling, networking, and DNS issues.

Skills

Linux admin

Kubernetes production

Troubleshooting

kubectl

Helm

CNI

NVIDIA GPU Operator

DCGM

Ceph

Ansible

Scripting (Bash/Python)

Monitoring (SigNoz/Zabbix/Prometheus)

Tools

Kubeadm

Kubespray

Ceph CSI

RBD/CephFS

BMC/IPMI/Redfish

Job description

RackBank Datacenters is a fast-growing and trusted data center company committed to powering digital transformation with secure, scalable, and efficient IT infrastructure solutions. With state-of-the-art data centers in India and a strong client base across multiple industries, RackBank is focused on delivering next-gen cloud and colocation services.

Our Vision:

To build India’s most reliable and trusted data center and digital infrastructure ecosystem, empowering enterprises and governments with secure, scalable, and future-ready infrastructure.

About the role:

NeevCloud runs production Kubernetes clusters for its GPU cloud platform, with Ceph as the storage backend and a mixed fleet of NVIDIA datacenter and workstation - class GPUs. You will own the day - to - day health of these clusters and their nodes: Keeping them stable, patched and monitored, and fixing issues before customers notice them. As the platform grows, you will also deploy Kubernetes on new GPU Clusters.

What you will do:

Cluster Operations:

• Run daily health checks on the production clusters: nodes, control plane, etcd, certificates and capacity.
• Plan and carry out Kubernetes version upgrades with a rollback plan and minimal downtime.
• Troubleshoot pod failures, evictions (disk and memory pressure), scheduling problems, and networking and DNS issues, including customer pods that carry a direct public IP.
• Support VM workloads running on KubeVirt alongside containers.
• Manage persistent storage through Ceph CSI (RBD and CephFS): PVC issues, capacity and performance.
• Watch Ceph cluster health with the storage team, and act on warnings that affect Kubernetes volumes (slow requests, nearly full OSDs, degraded placement groups).
• Maintain monitoring and alerts in SigNoz and Zabbix, and respond to alerts.
• Take etcd backups, test restores, and keep disaster recovery steps documented.
• Manage RBAC, namespaces, resource quotas and limits, and work with the security team on vulnerability fixes.

Node Maintenance:

• Handle the node lifecycle: add and remove worker nodes, and cordon, drain and return nodes after maintenance.
• Patch the OS and kernel, and upgrade GPU drivers and firmware in a planned window, with the data centre team where needed.
• Use out-of-band access (BMC, IPMI or Redfish) for remote console, power actions and hardware logs.
• Find hardware faults (disk, memory, NIC, GPU), raise vendor tickets, and work with the data centre team on replacements.
• Find GPU faults using nvidia-smi, DCGM metrics and Xid errors, and decide whether a node needs draining, a driver fix or a hardware ticket.
• Check every node before it returns to production: GPU health, driver and firmware versions, network and storage access.

New GPU Cluster builds:

• Deploy Kubernetes on new GPU node clusters, from bootstrap to production handover.
• Set up the NVIDIA GPU Operator and Network Operator, including RDMA networking (RoCE or InfiniBand) for multi-node workloads.
• Validate new clusters with GPU burn-in and NCCL tests before handover.
• Automate node and cluster setup (Ansible or similar) so every build is repeatable and documented.

Support and on - call:

• Take escalations from the L1 support team, write the root cause analysis for incidents, and keep runbooks up to date.
• Join the on-call rotation for production incidents.

What we need:

• 4+ years of Linux administration (Ubuntu primary; RHEL a plus): systemd, kernel, networking, storage and logs.
• 2+ years of hands-on work running Kubernetes in production, not only lab or course work.
• Has built at least one Kubernetes cluster from scratch (kubeadm, Kubespray or similar).
• Confident troubleshooting with kubectl: logs, events and describe output.
• Working knowledge of Helm, at least one CNI (Cilium, Kube-OVN, Calico or similar), and ingress.
• Ceph: understanding of the architecture (MON, OSD, MGR, pools, placement groups, replication and erasure coding), reading ceph -s and health warnings, and using RBD and CephFS through the Ceph CSI driver.
• GPU: NVIDIA GPU Operator, driver and CUDA version compatibility, GPU scheduling in Kubernetes, and GPU monitoring with DCGM.
• Server hardware basics and out-of-band management (BMC or IPMI).
• Ansible or a similar automation tool, plus scripting in Bash or Python.
• Experience with monitoring and alerting tools (SigNoz, Zabbix, Prometheus or similar).

Good to have:

• CKA or CKS certification.
• KubeVirt administration (live migration, PCI passthrough).
• NVIDIA Network Operator, RDMA (RoCE or InfiniBand) and NCCL testing.
• GPU time-slicing or MIG, and awareness of NVLink and PCIe topology.
• Rook, Ceph upgrades or OSD replacement.
• GitOps tools (Argo CD or Flux), or policy tools such as Kyverno.
• Experience in a data centre or GPU cloud environment.

We operate with:

• Freedom and responsibility
• High performance standards
• Respect for context over process

Interested?

If ownership, impact, and building India’s digital infrastructure excite you,