Software Developing Manager, GKE Agentic Operations
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Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in distributed cloud computing including 3 years of experience in containerization, container orchestration, or operations management.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience implementing and managing Agentic AI solutions and workflows for compute infrastructure.
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.
The rapid emergence of Agentic AI makes it possible for intelligent autonomous systems to reason, plan, and execute tasks with minimal human intervention. Agents are already being leveraged to create self-optimizing workflows, automate troubleshooting tasks, and interconnect systems on behalf of users.
This presents Google Kubernetes Engine with a unique and immediate opportunity to lead and build foundational infrastructure and tools where we will focus on agents, agentic interfaces and tools, and integrations.
Responsibilities
- Shape and land the future direction of how GKE will be consumed, delivering new interfaces for accessing GKE, and leveraging this for agentic workflows.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Impact through all levels of the GKE, from the control plane though to the core infrastructure by communicating, designing, and driving decisions effectively through developing/design documents and code across a wide number of organizations.
- Build a network across our partnerships with our internal stakeholders and collaborators teams working in the agentic space to quickly deliver an exceptional service.
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