Senior Cloud DevOps & AI Infrastructure Architect

About the role

We are looking for a Senior Cloud DevOps & AI Infrastructure Architect to lead the design, automation and operation of multi‑cloud and on‑premise platforms that power AI workloads. The role is based in Bangalore and will work closely with engineering, data science and product teams to deliver secure, scalable and cost‑effective solutions.

Key responsibilities

• Design multi‑cloud reference architectures on AWS and Azure following Well‑Architected principles.
• Implement fully automated, IaC‑driven provisioning using Terraform, Pulumi, Bicep or CDK with CI/CD pipelines for zero‑touch deployments.
• Build and operate a multi‑tenant platform with strict isolation, quota management and chargeback reporting.
• Architect on‑premise compute, networking and storage, including bare‑metal GPU/CPU clusters, HPC configurations and hybrid‑cloud connectivity (VPN, Direct Connect, ExpressRoute).
• Define scaling strategies combining horizontal auto‑scaling, EKS/AKS cluster autoscalers and on‑prem capacity planning for elastic AI workloads.
• Develop the Knowledge Fabric layer integrating vector databases (Pinecone, Weaviate, pgvector), document stores, relational/graph databases and metadata registries.
• Provide blueprints and platform services for micro‑services, AI inference endpoints, model hosting (SageMaker, Azure ML, Triton) and data pipelines.

Required profile

• 8‑12 years of experience in cloud architecture, DevOps and AI infrastructure.
• Proven ability to design and operate large‑scale, secure, multi‑cloud environments.
• Strong problem‑solving skills and experience with hybrid‑cloud integration.

Required skills

• AWS, Azure
• Terraform, Pulumi, Bicep, CDK
• CI/CD pipelines
• Kubernetes, EKS, AKS
• GPU/CPU clusters, HPC
• VPN, Direct Connect, ExpressRoute
• Auto‑scaling, cluster autoscalers
• Pinecone, Weaviate, pgvector
• SageMaker, Azure ML, Triton
• Service mesh, API gateway, event streaming

What we offer

• Opportunity to work on cutting‑edge AI infrastructure at a global technology leader.
• Collaborative environment with cross‑functional teams.
• Competitive compensation and benefits.