Kubernetes Expert

Department Name

Frameworks & Cloud

Job Type

Full time

Date Opened

21/08/2025

Industry

Software Development

Minimum Experience In Years

5

Maximum Experience In Years

8

City

Ramapuram

Province

Tamil Nadu

Country

India

Postal Code

600089

MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators.

MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently.

We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help.

Role Overview

We are looking for an experienced Kubernetes with strong expertise in Kubernetes clusters, cloud-native technologies, storage integration, and performance optimisation. The ideal candidate should have hands-on experience in designing, deploying, and managing large-scale Kubernetes environments across on-prem and cloud platforms, along with troubleshooting complex containerised workloads.

Key Responsibilities

• Cluster Management & Deployment

• Provision and manage Kubernetes clusters using kubeadm, RKE2, and Cluster API across cloud platforms (AWS, Azure, GCP, OpenStack).

• Deploy, scale, and upgrade applications using Kubernetes best practices (rolling updates, probes, HPA, VPA).

• Configure node scheduling strategies using taints, tolerations, and affinity rules.

• Application Deployment & Troubleshooting

• Debug CrashLoopBackOff and pod failures using kubectl logs, events, and resource monitoring.

• Troubleshoot networking, persistent volumes, and service exposure issues (ClusterIP, NodePort, LoadBalancer, Ingress).
• Debug application routing using APISIX, NGINX ingress, and multi-path routing.

• Handle application scaling and high-traffic scenarios using autoscalers.

• Storage & Data Management

• Integrate Ceph storage with Kubernetes via CSI drivers for block and filesystem provisioning.

• Troubleshoot PersistentVolume (PV) and PersistentVolumeClaim (PVC) issues.

• Observability & Performance

• Deploy and configure monitoring solutions such as Prometheus and Metrics Server.

• Benchmark cluster and workload performance (CPU, memory, networking).

• Enable log collection and analysis for multi-container pods.

• Security & Networking

• Manage authentication and RBAC policies within Kubernetes.

• Configure isolation for virtual Kubernetes clusters (vcluster).

• Handle registry authentication (AWS ECR, private registries) using image pull secrets.

• Specialized Workloads

• Deploy and manage GPU workloads using NVIDIA GPU Operator.

• Enable GPU scheduling and resource allocation for AI/ML workloads.

• Operations & Maintenance

• Troubleshoot faulty nodes (on-prem / cloud) including CPU, memory, disk, and kubelet health.

• Work on service routing, ingress configurations, and debugging cloud load balancer/firewall issues.
• Perform rolling upgrades and ensure zero-downtime deployments.

Required Skills

• Strong expertise in Kubernetes administration and cloud-native deployments.
• Hands-on experience with kubeadm, RKE2, Cluster API, and Terraform for cluster provisioning.
• Knowledge of storage integration with Ceph and CSI drivers.
• Experience with monitoring and observability tools (Prometheus, Grafana, Metrics Server).
• Strong debugging skills for pod crashes, networking issues, and persistent storage problems.
• Knowledge of NGINX ingress, APISIX, and traffic routing.
• Understanding of RBAC, security groups, and IAM policies in Kubernetes & cloud.
• Experience with GPU workloads in Kubernetes.
• Familiarity with CI/CD pipelines for Kubernetes deployments is a plus.

Preferred Qualifications

• 4+ years of hands-on experience in Kubernetes roles.
• Experience in both managed (EKS, AKS, GKE) and on-prem Kubernetes clusters.
• Strong scripting skills (Bash, Python, Go – preferred).
• Prior experience with infrastructure-as-code tools like Terraform, Helm, and Ansible.
• Exposure to multi-cluster and multi-tenant environments.