Senior Cloud Engineer

Key Responsibilities :

• Design and implement cloud architecture for AI / ML, LLM model deployment, monitoring, and scaling
• Deploy models using Docker, Kubernetes, and CI / CD pipelines across cloud environments on Azure or GCP
• Optimize AI model serving using tools like TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server, etc.
• Build and manage IaC using Terraform, or CloudFormation
• Implement security best practices, autoscaling, logging, monitoring (Prometheus / Grafana / ELK), and disaster recovery plans
• Collaborate with ML engineers to produce prototypes into resilient, cloud-native services
• Benchmark and tune deployments for low latency, high throughput, and cost optimization

Required Qualifications :

Skills Required

Docker, Cloud Engineering, AI ML, Azure, Python, Kubernetes