Senior Cloud/DevOps Engineer (SDE - 3)

About the role

We are looking for a Senior DevOps & MLOps Engineer to join our Platform & DevOps team. You will design, build, and operate cloud-native infrastructure that supports ML model serving, data pipelines, and developer platforms across AWS, GCP, and Azure. You will work closely with data science, product engineering, and security teams — and be expected to own large surface areas end-to-end.

What you'll do

• ML Platform & LLM Infrastructure
• Own and operate Kubernetes-based ML platform on EKS — supporting LLM inference (KServe), distributed compute (Dask/Ray), and workflow orchestration (Apache Airflow)
• Partner with data science and ML teams to design, deploy, and scale ML workloads — including GPU scheduling, autoscaling, resource isolation, and SLO-driven reliability
• Architect, deploy, and optimize Ray clusters on Kubernetes for distributed ML workloads — enabling scalable training, batch inference
• Multi-Cloud Platform & Infrastructure

What you need

• 6–8 yrs of experience
• AWS
• Terraform
• Kubernetes
• CI/CD
• GCP
• Azure
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Helm
• Prometheus
• Grafana
• Python
• Bash
• Ansible