Website:
starzen.in
Job details:
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 strong 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.
Click on Apply to know more.
