Engineering Manager, Cloud SAP

About the job:
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Responsibilities:
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.
Provide architecture guidance and lead the roadmap execution in a very dynamic and organizationally complex environment.
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.
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.
Be responsible for career development and performance management, while maintaining an open team culture.

Minimum qualifications:
Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
5 years of experience in a people management or team leadership role.
Experience with Artificial Intelligence/Machine Learning (AI/ML) and agentic systems, and enterprise architectures.
Experience with cloud native deployments and services, virtualization, micro-services, and infrastructure as code.

Preferred qualifications:
3 years of experience working in a complex, matrixed organization.
Experience in Infrastructure as Code (IaC), configuration management (e.g., Terraform, Puppet, Chef, CFEngine, Salt), and functional operations of server, storage, and network functions.
Experience architecting and developing software or infrastructure for
scalable, high performance, distributed systems.
Experience with enterprise approaches for business continuity, disaster recovery, and backup and restore.