Job Description

As a Senior Cloud DevOps & AI Infrastructure Architect, you will design, build, and operate enterprise-scale cloud and on-premises infrastructure supporting advanced AI workloads.

Your responsibilities include:

Design and implement multi-cloud reference architectures on AWS and Azure, applying Well-Architected principles across reliability, performance, security, and cost optimization pillars
Architect and deploy fully automated, Infrastructure-as-Code (IaC) driven cloud provisioning using Terraform, Pulumi, Bicep, and CDK with CI/CD pipelines enabling zero-touch infrastructure deployments
Build and operate multi-tenant platform infrastructure enforcing strict tenant isolation, resource quotas, namespace-level governance, and chargeback reporting mechanisms
Design on-premises infrastructure for compute, networking, and storage, including bare-metal GPU/CPU clusters, HPC configurations, and hybrid-cloud connectivity solutions (VPN, Direct Connect, ExpressRoute)
Define and implement platform scaling strategies combining horizontal auto-scaling, cluster autoscalers (EKS, AKS), and on-premises capacity planning to support elastic AI workloads
Architect and maintain the Knowledge Fabric layer, integrating vector databases (Pinecone, Weaviate, pgvector), document stores, relational and graph databases, and structured metadata registries into unified, semantically searchable retrieval pipelines
Develop infrastructure blueprints and platform services supporting diverse cloud-native workloads including microservices (service mesh, API gateway, event streaming), AI inference endpoints, AI model hosting (SageMaker, Azure ML, Triton), MCP servers, and data management pipelines

Qualifications

BE

Additional Information

8 to 12 Years