Description

Key Responsibilities

• Build and operate cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load Balancers, API Gateway, Lambda/Functions, EKS/AKS, ECS, and App Services
• Design multi-account/subscription architectures with landing zones, high availability, disaster recovery, and cost optimization
• Enable and operationalize Enterprise GenAI platforms including model onboarding, AI gateways, inference platforms, vector databases, and RAG
• Manage containerized workloads using Docker, Kubernetes/OpenShift, AKS, EKS, and service mesh technologies
• Implement DevOps pipelines via GitHub Actions, Azure DevOps, Jenkins, GitOps, and ArgoCD
• Develop infrastructure-as-code using Terraform and Ansible
• Collaborate with application, platform, infrastructure, and security teams to accelerate cloud modernization and GenAI initiatives

Required Skills

• AWS and Azure cloud-native architecture and operations
• Kubernetes/OpenShift, AKS, EKS, Docker, and service mesh
• Azure AI Foundry, Azure OpenAI, AWS Bedrock, SageMaker, and agentic frameworks
• Terraform, Ansible, GitHub Actions, ArgoCD, Jenkins
• Python, Java, REST APIs, microservices, and distributed systems
• MongoDB, Redis, PostgreSQL, and Vector Databases
• Cloud security, IAM, secrets management, observability, monitoring, and SRE practices

Preferred Skills

• Experience with prompt engineering, AI evaluations, and RAG pipelines
• Multi-cluster platform operations and autoscaling strategies
• High-throughput data platform optimization for performance and resiliency

Key Skills

Education

Any Gradute