We are seeking a Senior DevOps/MLOps Engineer with 3–5 years of proven experience designing, deploying, and managing production infrastructures for enterprise applications and artificial intelligence solutions. The ideal candidate must have hands-on experience with Linux, containerized environments, NVIDIA GPU servers, and process automation.
Please include your Current CTC, Expected CTC, and Notice Period in your application.
Required Skills:
* Strong expertise in Docker Compose and Ubuntu server administration.
* Experience configuring Nginx or Traefik with automatic HTTPS provisioning.
* Server security management, including firewalls, Fail2ban, and access control.
* Implementation of automated backup solutions to Storage Box or other external repositories.
* Installation and configuration of NVIDIA GPUs, NVIDIA Container Toolkit, and Ollama.
* Deployment and optimization of AI models such as Qwen2-VL.
* Integration and workflow automation using n8n.
* Proficiency in scripting (Bash/Python) and API integrations.
Responsibilities:
* Install, configure, and secure Mayan EDMS, n8n, Ollama, and Qwen2-VL.
* Configure corporate domains, HTTPS certificates, and secure access mechanisms.
* Enable and optimize GPU utilization for AI workloads.
* Integrate, test, and validate the complete document-processing workflow.
* Implement automated backup procedures and maintain technical documentation.
* Deliver a fully operational, secure, production-ready solution.
Application Instructions:
Interested candidates are requested to send their updated resume along with the following details:
- Current CTC
- Expected CTC
- Notice Period
- Current Location
- Total Relevant Experience in DevOps/MLOps
- Experience with Docker, Ubuntu, NVIDIA GPU Servers, Ollama, and AI Model Deployment
Please note that applications without CTC details may not be considered.
Benefits:
- Flexible schedule
- Provident Fund
Application Question(s):
- Required: What is your Current CTC (in LPA)?
- Required:What is your Expected CTC (in LPA)?
- Required: Please state your notice period(in months)
Experience:
- DevOps/MLOps: 3 years (Required)
Location:
- Puducherry, Puducherry (Puducherry) (Required)
Work Location: In person
