Senior Kubernetes Engineer (SME) (Mumbai)

Senior Kubernetes Engineer (SME) (Mumbai)

22 Aug
|
Nexus Venture Partners
|
Mumbai

22 Aug

Nexus Venture Partners

Mumbai

Neysa Mumbai Metropolitan Region

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About The Role

We are building and running mission-critical production infrastructure on Kubernetes. As a Senior Kubernetes Engineer, you will own the full stack - from the underlying OS and container runtime through networking, storage, and the cluster control plane itself.

You will engage across the full lifecycle: architecture, deployment, hardening, and day-2 operations for multi-cluster, multi-tenant environments. This is hands-on infrastructure work with direct ownership of production reliability.

What You Will Be Doing:

- Design, deploy, and operate production-grade Kubernetes clusters across bare-metal, cloud, and hybrid environments.

- Manage cluster lifecycle end-to-end: provisioning, version upgrades, patching, scaling, and capacity planning

- Architect and run multi-cluster/multi-tenant setups using Kamaji, Rancher (hosted control planes), and vCluster (virtual clusters)

- Configure and troubleshoot CNI plugins (Calico, Cilium) — pod networking, network policies, BGP, and eBPF dataplanes.

- Own cluster DNS (CoreDNS) configuration, service discovery, and resolution troubleshooting.

- Manage container runtime (containerd, CRI-O) and underlying OS: Linux tuning, kernel/sysctl parameters, systemd, cgroups

- Deploy and operate service mesh (Istio, Cilium mesh) for traffic management

- Manage persistent storage: PV/PVC, StorageClasses, CSI drivers (Rook/Ceph, Longhorn, cloud-native CSI)

- Own the network stack: ingress controllers, load balancing, MetalLB/BGP, firewalling, and network troubleshooting

- Implement GitOps and Infrastructure-as-Code (ArgoCD/FluxCD, Terraform, Helm) for cluster and workload delivery

- Harden clusters: RBAC, Pod Security Standards, network policies, secrets management (Vault, Sealed Secrets), image scanning

- Own backup and disaster recovery (Velero, etcd snapshotting) and run DR drills

- Provide on-call production support: monitor cluster health, troubleshoot incidents, and drive root-cause resolution

- Create comprehensive documentation, runbooks, and knowledge bases for operational continuity and knowledge transfer

What We Need To See:

- Core Kubernetes & Infrastructure (5 years)

- Deep expertise in Kubernetes architecture: control plane, etcd, kube-apiserver, scheduler, controller-manager, kubelet

- Proven experience designing, deploying, and troubleshooting production clusters at scale

- Hands-on with multi-cluster/multi-tenant tooling — Rancher, Kamaji, and/or vCluster (strongly preferred)

- CNI expertise: Calico, Cilium — network policy design, BGP, VXLAN/IPIP encapsulation, eBPF

- Container runtime internals: containerd, CRI-O, runc — configuration and troubleshooting

- Strong Linux systems administration: kernel tuning, systemd, cgroups/namespaces, sysctl, package/OS lifecycle management

- Storage: PV/PVC, StorageClasses, CSI drivers, Ceph/Rook, Longhorn, NFS

- Service mesh experience: Istio, Linkerd, or Cilium service mesh

- CoreDNS configuration, custom resolvers, and DNS troubleshooting in cluster environments

- Networking depth: ingress controllers (NGINX, Envoy, Traefik), load balancing, MetalLB, and diagnostic tooling (tcpdump, iptables/nftables, conntrack)

Automation & Infrastructure-as-Code:

- Helm chart authoring and lifecycle management

- GitOps workflows: ArgoCD or FluxCD

- IaC and configuration management: Terraform, Ansible

- CI/CD pipeline integration for cluster and application delivery

- Scripting proficiency: Bash and Python (Go a plus)

Ways To Stand Out From The Rest:

- Kubernetes certifications: CKA, CKAD, CKS

- Production experience with Rancher, Kamaji, and vCluster together (fleet/hosted-control-plane management)

- Multi-cloud Kubernetes: EKS, AKS, GKE, and bare-metal

- Experience with GPU-enabled clusters and AI/ML workload scheduling '

- Familiarity with AI/LLM serving stacks on Kubernetes — vLLM, KServe, Triton Inference Server, GPU operator/device plugin, MIG partitioning

- General AI infrastructure knowledge: model serving patterns, inference autoscaling, GPU scheduling constraints

- Contributions to CNCF projects or an active open-source/GitHub presence

Minimum Qualifications

- Bachelor’s degree in computer science, Electrical/Computer Engineering, or related field (or equivalent industry experience)





- 5 years of hands-on production Kubernetes experience

- Demonstrated ownership of CNI, DNS, storage, and networking within Kubernetes environments

- Solid grounding in containerd/OS-level troubleshooting

- Production on-call and incident-response experience.

Soft Skills

- Strong problem-solving and debugging abilities under production pressure

- Ownership mindset with accountability for platform reliability and stability

- Cross-functional collaboration with application, security, operations and platform teams

- Proactive approach to continuous learning and staying current with the Kubernetes/CNCF ecosystem

- Strong documentation and communication skills, with ability to defend design decisions in peer reviews

- Seniority level Not Applicable

- Employment type Full-time

- Job function Engineering and Information Technology

- Industries Software Development

Soft Skills

- Strong problem-solving and debugging abilities under production pressure

- Ownership mindset with accountability for platform reliability and stability

- Cross-functional collaboration with application, security, operations and platform teams

- Proactive approach to continuous learning and staying current with the Kubernetes/CNCF ecosystem

- Robust documentation and communication skills, with ability to defend design decisions in peer reviews

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📌 Senior Kubernetes Engineer (SME) (Mumbai)
🏢 Nexus Venture Partners
📍 Mumbai

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