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Description supplied by the original job listing.
We're hiring GPU Engineers and DevOps Engineers in Chennai for a 1-year onsite contract supporting AI and Cloud infrastructure projects for a confidential enterprise AI infrastructure client.
Open Positions: ~20 positions across GPU Engineer and DevOps Engineer roles
Experience: 6+ years of relevant, hands-on production experience
Location: Chennai — onsite only. Candidates must be currently local to Chennai and willing to work onsite full-time.
Contract: 1 year, extendable based on performance and project needs. Rate/salary discussed based on experience and technical expertise.
GPU Engineer — Key Responsibilities
Deploy, configure, and maintain GPU-based AI/ML infrastructure
Work hands-on with NVIDIA GPUs, CUDA, GPU drivers, and GPU compute environments
Troubleshoot GPU performance, utilization, memory, and compute issues
Support AI/ML workloads across cloud and on-premise environments
Work with Docker and Kubernetes for containerized GPU workloads
Optimize GPU resource utilization and workload performance
Monitor GPU infrastructure health, capacity, and performance
Collaborate closely with AI/ML, DevOps, and infrastructure teams
Required Skills:
6+ years of relevant experience
Strong hands-on experience with NVIDIA GPUs and CUDA
Linux administration and troubleshooting
Docker and Kubernetes
GPU infrastructure deployment and troubleshooting
Experience with AWS, Azure, or GCP
Python and/or Bash scripting
GPU monitoring and performance optimization
Experience supporting production AI/ML infrastructure
Good to Have:
NVIDIA GPU cluster experience
Kubernetes GPU scheduling
NVIDIA Container Toolkit
Slurm or other GPU workload schedulers
MLOps / AI infrastructure experience
Large-scale GPU cluster experience
DevOps Engineer — Key Responsibilities
Design, deploy, and maintain cloud infrastructure
Build and manage CI/CD pipelines
Automate infrastructure provisioning and configuration
Manage Docker containers and Kubernetes environments
Implement Infrastructure as Code using Terraform
Monitor infrastructure, applications, and production environments
Troubleshoot deployment and production issues
Implement security, scalability, reliability, and automation best practices
Collaborate with development, AI/ML, and infrastructure teams
Required Skills:
6+ years of relevant DevOps experience
Strong experience with AWS / Azure / GCP
Docker and Kubernetes
Terraform / Infrastructure as Code
CI/CD — Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent
Linux administration
Git and Python/Bash scripting
Monitoring and logging — Prometheus, Grafana, ELK, or equivalent
Strong production troubleshooting experience
Good to Have:
AI/ML infrastructure experience
GPU infrastructure exposure
NVIDIA CUDA/GPU environments
Kubernetes cluster administration
Cloud security
MLOps experience
Candidate Requirements (both roles)
6+ years of relevant experience
Currently based in Chennai — local candidates only, no relocation
Willing to work onsite in Chennai full-time
Strong hands-on technical and production experience
Available for a 1-year contract engagement
To apply: Please apply via LinkedIn Easy Apply and include your Total Experience, Relevant Experience (GPU or DevOps), Current Location, Notice Period, and Expected Rate/Salary in your application.
Work arrangement
No
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