Position: AI DevOps Engineer (AI Platform & LMS)

Location: Mohali, Punjab

- Build CI/CD pipelines for AI, RAG, API and LMS applications, with automated testing, Docker builds, security checks and rollback; manage GitOps and IaC (Terraform/Ansible/Helm).
- Deploy and optimize LLMs (Llama, Qwen, Mistral, Gemma) via vLLM, Ollama or Hugging Face on AWS/on-premise GPUs, managing CUDA environments, performance and cost.
- Deploy RAG pipelines and vector databases (Qdrant, Milvus, Weaviate, pgvector) along with Python/FastAPI AI services.
- Manage AWS (EC2/GPU, EKS, ECR, S3, VPC, IAM, CloudWatch), hybrid connectivity, backup, recovery, scaling and cost optimization.
- Containerize services with Docker and run them on Kubernetes/EKS, including ingress, secrets, storage, scaling and troubleshooting.
- Own Moodle/CULMS deployments, upgrades, patches and the plugin lifecycle (compatibility, security, UAT, release), plus cron, caching, backups and CUIMS/ERP, SSO and LTI integrations.




- Monitor platforms with Prometheus, Grafana and CloudWatch; handle incidents, root-cause analysis and disaster recovery.
- Enforce security (IAM, secrets, TLS, least privilege, patching), protect institutional data and maintain change documentation.

Qualifications

- B.Tech or M.Tech in CS, IT, AI or Data Science, or MCA.
- 37 years in DevOps, Cloud, MLOps, AI Infrastructure or related roles.
- Hands-on LLM deployment, RAG and model-serving experience.
- Solid AWS, Linux, Docker, Kubernetes, Git and CI/CD skills; Python and Bash scripting.
- Preferred: Moodle/CULMS deployment, upgrade or plugin experience, and AWS, CKA, CKAD or Terraform certifica

Interested Candidates Can share your resume by Mail & whatsapp [email protected] & (phone hidden)

📌 AI DevOps Engineer (AI Platform & LMS) (Sahibzada Ajit Singh Nagar)
🏢 Chandigarh University
📍 Sahibzada Ajit Singh Nagar