Engineering Productivity Lead, Switch Infrastructure

Google•Sunnyvale, CA

5d•$207,000 - $300,000

About The Position

Google Cloud is hiring an Engineering Productivity Lead for Switch Infrastructure to help build high-performance, resilient switch software powering Google’s data centers and AI infrastructure. The team develops and maintains the switch operating system deployed in every Google data center, supporting Google Gemini, Google Cloud, and the global network—from data center fabrics to wide area networks and the peering edge. In this role, you will lead engineering productivity work across build systems, CI/CD, testing infrastructure, and release management, and apply automation to improve developer workflows and release velocity. The position is part of Google’s AI and Infrastructure organization, which delivers large-scale AI and infrastructure capabilities for Googlers, Google Cloud customers, and Google users worldwide.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
2 years of experience in a technical leadership role, such as a tech lead, driving technical strategy or projects.
Experience with C++ or Python.
Experience with Linux networking or embedded systems.
Experience building and optimizing CI/CD pipelines and build systems, such as Bazel or Make.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience with SONiC, SAI, P4, or open-source networking software stacks.
Experience managing releases across complex, heterogeneous network switch hardware matrices, including Broadcom, Cisco, NVIDIA, or Arista.
Proven track record of applying AI/LLMs to software development workflows, release tooling, or automated testing.

Responsibilities

Lead and grow an Engineering Productivity team, managing work across build systems, continuous integration and deployment, testing infrastructure, and release management.
Optimize development and submit loops to reduce build and test times from hours to minutes and streamline time-to-submit.
Oversee production switch software releases, qualification gates, branching strategies, and release candidate health metrics.
Build automated pipelines for continuous downstreaming from open-source repositories and upstream internal improvements.
Architect and deploy AI-powered automation to eliminate developer toil and accelerate release velocity, collaborating with software simulation for enhanced test selection.