DevOps Engineer | Defence & AI Surveillance Systems

We are looking for a hands-on DevOps Engineer to support mission-critical EO/IR surveillance and defence command systems involving real-time video processing, AI model deployment, GPU infrastructure and edge computing.

Experience: 3–7 Years
Budget: Up to ₹12 LPA

What you'll work on:

• Deploying containerized surveillance applications across GPU-enabled servers and edge devices.
• Managing Docker images, CI/CD pipelines and versioned AI model/engine releases.
• Handling NVIDIA CUDA/TensorRT runtime compatibility and Jetson-class edge deployments.
• Maintaining Linux services, application health monitoring and production recovery.
• Implementing controlled software updates, rollback procedures and reproducible deployments in restricted defence IT environments.

Mandatory Skills:
Docker & Docker Compose

CI/CD — GitHub Actions, GitLab CI or Azure DevOps
Linux administration and production troubleshooting
Container image management and release engineering
Deployment recovery and rollback procedures

Preferred: NVIDIA CUDA, TensorRT, Jetson, GPU deployments, Prometheus/Grafana, MinIO/S3 and Ansible/Terraform.

Ideal candidates: DevOps / Platform / SRE professionals who have owned production deployments of containerized products. Experience in defence, surveillance, video analytics, robotics, edge AI or other GPU-intensive systems will be an advantage.

Pay: ₹500,000.00 - ₹1,200,000.00 per year

Work Location: In person