Senior Cloud Engineer

We seek a Senior Cloud Engineer to design, build, and optimize scalable, secure, and cost-efficient cloud environments.

Youll collaborate with AI/ML teams to deliver production-grade systems, automate deployments, and ensure resilience of data pipelines, APIs, and AI services across AWS, Azure, and GCP. This is a hands-on role where cloud architecture meets engineering excellence.

Key Responsibilities
1. Cloud Architecture & InfrastructureDesign and implement cloud-native solutions on AWS, Azure, or GCP.Build secure, highly available, and cost-optimized cloud infrastructure.Implement networking, IAM, security, and compliance best practices.2. Automation & DevOpsDevelop Infrastructure as Code (IaC) using Terraform/CloudFormation.Implement CI/CD pipelines to automate deployments for AI/ML and data platforms.Enable monitoring, logging, and alerting using cloud-native or third-party tools.3. Containerization & OrchestrationManage Kubernetes clusters and containerized workloads (Docker, EKS/AKS/GKE).Optimize workloads for scalability, performance, and cost efficiency.4. Collaboration & SupportPartner with Data & AI teams to ensure cloud infra supports ML/LLM workloads (e.g., GPU provisioning, vector DB hosting).Troubleshoot complex production issues and optimize cloud operations.Mentor junior engineers on cloud best practices.

o Cloud Platforms: AWS, Azure, or GCP (multi-cloud experience preferred).
o Infrastructure as Code: Terraform, CloudFormation, Pulumi.o Containers & Orchestration: Docker, Kubernetes, Helm.o CI/CD Tools: Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.o Networking & Security: VPCs, IAM, firewalls, VPN, secrets management.o Observability: Prometheus, Grafana, ELK, or cloud-native monitoring tools.o AI/ML Enablement (preferred): GPU provisioning, supporting MLOps pipelines.