Kubernetes Expert

**Job Information**:
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

**About Us**:
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**

**Key Responsibilities**
- Cluster Management & Deployment
- Provision and manage Kubernetes clusters using kubeadm, RKE2, and Cluster API across cloud platforms (AWS, Azure, GCP, OpenStack).
- 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).
- 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.