Platform, Cloud & MLOps Engineer

Location: Gurugram

Experience: 5+ years

What we need:

We need an engineer who can build, manage, and automate cloud infrastructure and Kubernetes platforms for applications, data, and AI/ML workloads.

Key Skills Required:

- Cloud & DevOps: Hands-on experience with cloud platforms, Linux, Docker/containers, and Kubernetes.
- Infrastructure Automation: Experience with Terraform, Ansible, and Infrastructure as Code (IaC).
- CI/CD & GitOps: Ability to automate application deployment and infrastructure updates.
- MLOps: Experience managing ML pipelines, model training, model registries, deployment, and monitoring.
- GPU & AI Model Deployment: Knowledge of GPU infrastructure, NVIDIA tools, model serving, and autoscaling.
- Monitoring & Security: Experience with observability, networking, storage, access controls, backups, and disaster recovery.
- Scripting: Python or Go.





Preferred

- Experience working in large enterprise or public-sector environments.
- Relevant cloud, Kubernetes, DevOps, or MLOps certifications.
- Familiarity with AI coding assistants such as GitHub Copilot or Microsoft Copilot.

What kind of candidate should we target?

Look for a DevOps Engineer, Platform Engineer, Cloud Engineer, or MLOps Engineer with solid Kubernetes and infrastructure automation experience, plus practical exposure to deploying and managing machine-learning models.

Important: We need more than a traditional DevOps engineer. The candidate should have actual MLOps/model deployment experience, ideally including GPU-based workloads and NVIDIA technologies.

📌 Platform, Cloud & MLOps Engineer (Gurugram)
🏢 StarZen
📍 Gurugram