Engineering Manager, Cloud Sap

Google Google · Big Tech · Bengaluru, Karnataka, India

Engineering Manager for Google Cloud's SAP initiative, focusing on building and growing an engineering team to develop solutions for enterprise customers. The role involves managing engineers, providing technical leadership, and contributing to product strategy, with a specific emphasis on generative AI and agentic infrastructure.

What you'd actually do

  1. Build and extend the Google Cloud SAP portfolio of solutions and tooling. Be part of a highly innovative team working on generative AI efforts, including building the common agentic infrastructure needed.
  2. Provide architecture guidance and lead the roadmap execution in a very dynamic and organizationally complex environment.
  3. Partner with technical leadership in related organizations to chart a shared path forward that balances both the short and long-term needs, ensuring reliable and flexible system foundations. Partner with engineering teams within the Enterprise Workloads division for technical and product alignment.
  4. Manage an organization of engineers from different job ladders - software engineers, test engineers, ABAP developers and SAP architects in building solutions for deployment, monitoring and end-to-end validation of SAP workloads on GCP.
  5. Be responsible for career development and performance management, while maintaining an open team culture.

Skills

Required

  • software development
  • data structures
  • algorithms
  • people management
  • team leadership
  • Artificial Intelligence/Machine Learning (AI/ML)
  • agentic systems
  • enterprise architectures
  • cloud native deployments
  • services
  • virtualization
  • micro-services
  • infrastructure as code

Nice to have

  • complex, matrixed organization
  • Infrastructure as Code (IaC)
  • configuration management
  • functional operations of server, storage, and network functions
  • architecting and developing software or infrastructure for scalable, high performance, distributed systems
  • enterprise approaches for business continuity, disaster recovery, and backup and restore

What the JD emphasized

  • generative AI efforts
  • common agentic infrastructure
  • SAP solutions for our large enterprise customers
  • build and grow an engineering team

Other signals

  • generative AI efforts
  • common agentic infrastructure
  • SAP solutions for enterprise customers
  • Google Cloud