AI Platform Engineer

Overview

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.

Position: AI Platform Engineer

Location: Hyderabad/Bangalore

Work Type: Hybrid

Job Type: Full Time

Job Description

• Senior AI Platform & GPU-as-a-Service (GPUaaS) Engineer
• We are looking for a Senior AI Platform & GPUaaS Engineer to build, operate, automate, and optimize enterprise AI infrastructure supporting AI/ML, GenAI, LLMs, HPC, and GPU-accelerated workloads.
• The role focuses on delivering a scalable, secure, highly available GPU platform using OpenShift, Kubernetes, NVIDIA GPU technologies, and automation.
  
  

Key Responsibilities

• Build, manage, and support enterprise OpenShift and Kubernetes platforms.
• Operate and optimize NVIDIA GPU infrastructure for AI/ML workloads.
• Enable LLM model training, fine-tuning, and inferencing.
• Automate infrastructure and platform services using Ansible, Terraform, and Python/Bash.
• Implement monitoring, observability, capacity planning, and performance optimization.
• Manage production operations, incident response, RCA, DR, and platform reliability.
• Implement security, RBAC, IAM, and enterprise compliance controls.
• Support customer onboarding, GPU workload enablement, and self-service capabilities.
• Collaborate with infrastructure, networking, storage, security, and application teams.
  
  

Must-Have Skills

• 5+ years of Platform, Infrastructure, Cloud, or SRE experience.
• 3+ years of Kubernetes and/or Red Hat OpenShift administration.
• Strong Linux administration and production support experience.
• Ansible, Terraform/IaC, Git/GitHub, CI/CD.
• Python and/or Bash scripting.
• Monitoring tools: Prometheus, Grafana, Splunk.
• Enterprise infrastructure, networking, storage, and security fundamentals.
• Familiarity with AI/ML, LLMs, model training, and inference.
• Experience with NVIDIA GPU infrastructure.
• Strong troubleshooting, communication, and stakeholder management skills.
  
  

Good-to-Have Skills

• Red Hat OpenShift AI and NVIDIA AI Enterprise.
• NVIDIA GPU Operator, CUDA, NCCL, TensorRT, and DCGM.
• GPU capacity planning, utilization optimization, and MIG.
• GitOps (ArgoCD), MLOps, Kubeflow, KServe, and JupyterHub.
• ServiceNow, Active Directory, and enterprise storage integration.
• HPC, distributed training, and multi-cluster GPU environments.
• Experience in regulated environments, preferably banking/financial services.
• Experience: 5+ years overall, with 3+ years in Kubernetes/OpenShift.
• Education: Bachelor's degree in Computer Science, Engineering, IT, or equivalent experience.
  
  

TekWissen® Group is an equal opportunity employer supporting workforce diversity.