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
- Robust 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.

📌 GPU Engineer & DevOps Engineer AI/Cloud Infrastructure (Chennai, Onsite)
🏢 Cinergy Technology
📍 Chennai