Engineering Manager - Node Performance & Scale

Google

Sunnyvale (CA)

On-site

USD 207,000 - 300,000

Full time

14 days+

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Job summary

Google is seeking a Software Engineering Manager in Sunnyvale, CA, to lead multiple engineering teams and drive the roadmap for large-scale compute infrastructure across Google Cloud. You will manage projects, guide engineers, and contribute to product strategy while enabling teams to optimize their code and performance.

The role emphasizes leadership across sites, budget oversight, and delivering major compute infrastructure initiatives at scale, with focus on reliability and efficiency.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of software development experience.
  • 3 years in developing large-scale infrastructure or related areas.
  • 3 years in a technical leadership role.
  • 2 years in people management or team leadership.

Responsibilities

  • Design and analyze computer systems and their interactions with kernel, hardware, and compute infrastructure users.
  • Partner with technical leaders to build and align the team's roadmap.
  • Drive team planning, strategy, and execution against the roadmap.
  • Drive high-impact cross-functional projects within Google Compute Infrastructure (GCI).
  • Build and maintain a healthy team culture based on collaboration and innovation.

Skills

Software development experience
Technical leadership
People management
Large-scale infrastructure
Compute/storage/hardware knowledge

Education

Bachelor’s degree or equivalent practical experience
Master’s or PhD in CS or related field

Job description

Google is seeking a Software Engineering Manager in Sunnyvale, CA, to lead multiple engineering teams and drive the roadmap for large-scale compute infrastructure across Google Cloud. You will manage projects, guide engineers, and contribute to product strategy while enabling teams to optimize their code and performance.

The role emphasizes leadership across sites, budget oversight, and delivering major compute infrastructure initiatives at scale, with focus on reliability and efficiency.

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