About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The GCE (Google Compute Engine) Control (EngProd Engineering Productivity) team is dedicated to building the tools, frameworks, and release processes that empower our developers to build and ship high-quality software with maximum efficiency. Our mission centers on improving the reliability of GCE services while significantly shortening the time to market for new customer features.

Within GCE Hyperloop, our focus is on delivering advanced developer sandboxes and simulation platforms. These initiatives support rapid product development and enable agentic AI-driven workflows, effectively addressing GCE stack complexity through topology simulation.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Manage a team to navigate deep technical problem spaces.
• Lead the Infrastructure and Tooling strategy while balancing a wide variety of projects and engagements.
• Apply AI first mindset to the solutions provided.
• Build, grow and retain top talent and continually find ways to inspire and test the engineering organization.
• Build cross-functional partnerships, and work closely with developers and product managers to identify productivity, production quality and coverage issues, and provide insight on improving both through scale and tooling.