Minimum qualifications:- Bachelor's degree, or equivalent practical experience.
- 8 years of experience programming in C , Java, Python, Kotlin or Go.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management role managing other managers.
- 5 years of experience with large-scale distributed systems.
Preferred qualifications:- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
About the jobLike 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.
Google Cloud is building the foundational infrastructure for the artificial intelligence-native agentic cloud to help enterprises scale autonomous agents while eliminating sprawl and ungoverned shadow artificial intelligence. To solve these issues, our unified agent and skill registry acts as a central control plane across Google Cloud, Workspace, and Gemini, enabling agents to dynamically discover each other, govern tools, and securely execute complex workflows. In this role, you will be pioneering agentic observability by mapping agents directly to their application dependencies, fundamentally transforming workload attribution, traces, and logs across the ecosystem.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) 25% bonus target equity benefits
Responsibilities- Drive best practices for distributed systems, mentor technical leaders (Staff/TLs), and advocate AI/LLM adoption for operational productivity (AIOps).
- Own multi-year roadmaps, navigate the ambiguity of bridging internal server platform infrastructure with Google Cloud Platform (GCP), and discuss with executives to de-risk delivery milestones.
- Transform AppHub into the central registry for Google's AI Agents and workloads across both Google3 and Cloud-native environments.
- Bridge internal and external product catalogs while building reliable asset pipelines to automate Cloud CISO regulatory reporting and vulnerability scanning.
- Deliver infrastructure that provides unified, side-by-side visibility into server platform applications and GCP dependencies to enhance anomaly detection and incident mitigation.
