Engineering Manager, Search Platforms, Machine Learning Infrasturcture
Bengaluru, Karnataka, Indiaonsitefull timeToday
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.
Responsibilities:
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 complex 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 best work.
Minimum qualifications:
Bachelor’s degree, or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., C, C++, Java, JavaScript, TypeScript).
3 years of experience in a people management and 2 years of experience in a technical leadership role.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
5 years of experience working in a complex organization.
Experience with machine learning infrastructure.
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