Senior Kubernetes Platform Engineer

Hello

This is Kumar from Tek Leaders Inc hope you are doing great. Please find the below Job Description.

Role: Senior Kubernetes Platform Engineer

Location: Remote Position

Duration: Long term

Job Description:

Seeking a Kubernetes Platform Engineer to support the production rollout of an existing enterprise Kubernetes environment and assist with AI gateway evaluations and deployments.

This resource will serve as a hands-on engineering contributor embedded within the customer environment leveraging established platform designs and deployment manifests to complete production implementation efforts troubleshoot issues and support AI platform initiatives.

This is a highly technical execution-focused role requiring strong Kubernetes Linux networking storage automation and platform troubleshooting experience.

Primary Responsibilities:

• Execute and validate production Kubernetes deployments using existing platform designs and deployment manifests
• Troubleshoot Linux container networking storage and cluster-related issues
• Deploy and support AI gateway proof-of-concepts and inference platform integrations
• Integrate and validate model-serving endpoints
• Evaluate authentication routing rate limiting observability and platform performance
• Support Kubernetes networking ingress load balancing DNS storage and security configurations
• Maintain deployment automation workflows and operational runbooks
• Document findings and provide knowledge transfer to customer teams
• Collaborate with platform engineering teams to resolve infrastructure and application issues
• Provide recommendations related to platform performance scalability and operational readiness

Required Qualifications:

• Proven experience deploying and supporting production Kubernetes environments
• Strong experience with on-premises or bare-metal Kubernetes deployments
• Advanced Linux administration experience
• Experience with container runtimes and containerized application deployments
• Strong knowledge of:
  • Kubernetes Networking
  • DNS
  • Ingress Controllers
  • Load Balancing
  • Persistent Storage
  • RBAC
  • Secrets Management
  • TLS/Certificates
• Experience with Helm Kustomize YAML and Git-based deployment workflows
• Python and/or Bash automation experience
• Experience with Prometheus Grafana or similar monitoring platforms
• Experience integrating APIs AI services or inference endpoints
• Ability to work independently within a customer environment

Preferred Qualifications:

• NVIDIA GPU infrastructure experience
• GPU Operator implementation and support
• GPU monitoring and optimization
• vLLM or similar LLM-serving platforms
• AI/API Gateway products ( Kong Apigee NGINX Gateway etc.)
• RDMA InfiniBand or RoCEv2 experience
• NCCL performance testing
• Slurm workload scheduler experience
• Certified Kubernetes Administrator (CKA)

Thanks & Regards

Kumar K

IT Recruiter

Email:

LinkedIn: