Azure Infra AI Operations & Platform Engineer
Company: Bosch Group
Location: bangalore, , India
Type: Full-time
Posted: 2026-06-15
About this role
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.
Role Description :
The AI Operations & Platform Engineer is responsible for designing, building, and operating AI-powered operational solutions that improve infrastructure management, incident response, monitoring, automation, governance, and cloud operations. The role combines cloud engineering, infrastructure operations, automation, software development, and AI technologies to deliver intelligent operational capabilities across Azure and hybrid environments.
Responsibilities:
1. AI Operations Engineering
• Build AI agents for incident investigation, root cause analysis, monitoring, alert triage, and operational automation.
• Develop agentic workflows using LangGraph, LangChain, Semantic Kernel, or equivalent.
2. Cloud & Infrastructure Engineering
• Design, deploy, and maintain Azure infrastructure solutions.
• Support hybrid cloud environments spanning Azure and on-premises infrastructure.
• Implement Infrastructure-as-Code using Terraform or Bicep.
3. Platform Engineering & Automation
• Develop automation solutions for provisioning, deployment, compliance, governance, and operational management.
• Build self-service infrastructure and platform capabilities.
4. Observability & Operational Intelligence
• Implement monitoring, logging, tracing, and observability solutions.
• Build operational dashboards and automated investigation capabilities.
5. DevOps & Delivery Enablement
• Design and maintain Azure DevOps pipelin...