Senior Cloud DevOps & AI Infrastructure Architect at Bosch Group

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Azure, Terraform, Pulumi, Bicep, CDK, CI/CD, Kubernetes, GPU Clusters, Vector Databases, SageMaker, Azure ML

Industry

Software Development

Description

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. 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 Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

Design and operate enterprise-scale cloud and on-premises infrastructure to support advanced AI workloads. Implement automated Infrastructure-as-Code provisioning and manage multi-tenant platform governance and scaling strategies.