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Location
In office (Bengaluru)
Seniority
Middle · 10+ years exp

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 30, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Coach, mentor, and scale an hardware systems and platform software engineering team in BLR, advocating technical excellence and high ownership.
  • Work alongside TLs to drive architectural definition, board/system validation, and qualification for next-generation Google Distributed Cloud connected (GDCc) and Google Global Cache (GGC) compute servers.
  • Steer engineering engagements with key (original equipment manufacturer) OEMs (Dell, HPE, Supermicro) to co-design and qualify platforms adhering to Google’s rigorous reliability, and security standards.
  • Collaborate with AI platform and accelerator teams to qualify compute platforms capable of hosting local Gemini models, GPU/NPU subsystems, and low-latency inference workloads.
  • Coordinate platform software, BIOS/OpenBMC, security attestation, and OS bring-up with distributed Google Cloud software teams.

Qualifications

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.

Preferred qualifications:

  • 10 years of experience with software development.
  • 7 years of experience in a technical leadership role; overseeing strategic projects, with 5 years of experience in a people management, supervision/team leadership role.
  • Experience working with the following areas: Kubernetes or container orchestration frameworks, Cloud infrastructure (GCP, cloud computing platform, other) system integration, configuration management, control management, orchestration layer, etc. and with data collection/monitoring/alerting infrastructure, data analysis pipelines and machine learning.
  • Track record of successful product delivery.
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