Lead, mentor, and develop a team of high-performing engineers who design and model planet-scale networks powering Google's services and Cloud customers.
Define and drive the team's technical goals, strategy, and roadmap for modeling infrastructure, exercising strong technical judgment.
Guide architectural and design decisions for scalable and reliable service deployments through active participation.
Manage project priorities and resources effectively, ensuring timely delivery of high-quality solutions in a fluid, ambiguous environment.

Ключевые требования

Lead, mentor, and develop a team of high-performing engineers who design and model planet-scale networks powering Google's services and Cloud customers.
Define and drive the team's technical goals, strategy, and roadmap for modeling infrastructure, exercising strong technical judgment.
Guide architectural and design decisions for scalable and reliable service deployments through active participation.
Manage project priorities and resources effectively, ensuring timely delivery of high-quality solutions in a fluid, ambiguous environment.

Вакансии в Google

Открытые роли в этой компании — 35 в каталоге JobMatcher.

Все вакансии компании

Вакансии в Google

Открытые роли в этой компании — 35 в каталоге JobMatcher.

Все вакансии компании

About the role

Google is seeking an experienced Staff Software Engineer to drive the design, development, and operational excellence of network and machine modeling infrastructure. This role requires backend distributed systems expertise, strong technical judgment, and excellent stakeholder management. You will collaborate with partner teams, external organizations, and engineers across tool and infrastructure groups to understand needs, align roadmaps, and ensure the modeling infrastructure meets evolving networking and AI/ML demands. The AI and Infrastructure team is redefining what's possible, delivering AI and infrastructure at scale for Googlers, Google Cloud customers, and billions of Google users worldwide.

Responsibilities

Qualification

Lead, mentor, and develop a team of high-performing engineers who design and model planet-scale networks powering Google's services and Cloud customers.
Define and drive the team's technical goals, strategy, and roadmap for modeling infrastructure, exercising strong technical judgment.
Guide architectural and design decisions for scalable and reliable service deployments through active participation.
Manage project priorities and resources effectively, ensuring timely delivery of high-quality solutions in a fluid, ambiguous environment.
Cultivate strong relationships and collaborate effectively with key stakeholders and a varied set of user teams, while upholding high standards for system design, code quality, and operational excellence, and advocating best practices for managing and communicating within a remote/hybrid team structure.

About the role

Google is seeking an experienced Staff Software Engineer to drive the design, development, and operational excellence of network and machine modeling infrastructure. This role requires backend distributed systems expertise, strong technical judgment, and excellent stakeholder management. You will collaborate with partner teams, external organizations, and engineers across tool and infrastructure groups to understand needs, align roadmaps, and ensure the modeling infrastructure meets evolving networking and AI/ML demands. The AI and Infrastructure team is redefining what's possible, delivering AI and infrastructure at scale for Googlers, Google Cloud customers, and billions of Google users worldwide.

Responsibilities

Qualification

Lead, mentor, and develop a team of high-performing engineers who design and model planet-scale networks powering Google's services and Cloud customers.
Define and drive the team's technical goals, strategy, and roadmap for modeling infrastructure, exercising strong technical judgment.
Guide architectural and design decisions for scalable and reliable service deployments through active participation.
Manage project priorities and resources effectively, ensuring timely delivery of high-quality solutions in a fluid, ambiguous environment.
Cultivate strong relationships and collaborate effectively with key stakeholders and a varied set of user teams, while upholding high standards for system design, code quality, and operational excellence, and advocating best practices for managing and communicating within a remote/hybrid team structure.

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