Senior Engineering Manager, Search ML Infrastructure

11 hours ago

Bengaluru, Karnataka, India Google Full time
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 5 years of experience in a people management or team leadership role.
Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience leading infrastructure teams through major technological shifts or platform migrations.
  • Experience in areas such as distributed systems, performance optimization and reliability engineering.
  • Ability to influence and align priorities across leaders.
  • Excellent communication and stakeholder management skills.
  • Passion for addressing ambiguous, open-ended problems with the ability to build and execute a clear path forward.
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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities
  • Impact the reliability, speed, and efficiency of Google Search's AI-powered experiences.
  • Lead a team building the ML infrastructure that powers Search, guiding technical direction and long-term evolution.
  • Provide the clarity, context, and support your team needs to solve problems and deliver durable solutions.
  • Help the team navigate ambiguity and scale ideas from concept to production.
  • Invest in team growth and well-being, building an environment where talented engineers can do their work.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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