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Location
In office (Hyderabad)
Seniority
Staff · 12+ years exp
Visa
Sponsors visas in United States, Ireland, United Kingdom; no register of this country names it

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 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.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

  • Lead the architecture, design, and delivery of Artificial Intelligence (AI)-powered onboarding agents and unified hiring workflow platforms.
  • Build, mentor, and manage a team of software engineers in Hyderabad, fostering technical excellence and career growth.
  • Drive the consolidation of legacy recruiting and evaluation tools into scalable, modern enterprise services.
  • Serve as the engineering technical lead for the Hardware and Operations (H and O) team responsible for developing AI/ML systems and Agentic solutions.
  • Partner with Product Management, User Experience (UX), and global engineering leads to define roadmaps, milestones, and technical strategy.

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; overseeing projects.
  • 2 years of experience in a people management or team leadership role.
  • Experience in full-stack web development.
  • Experience designing software architecture for applications, including AI/ML systems. Experience designing and operating distributed computing systems for large-scale AI/ML workloads.

Preferred qualifications:

  • 12 years of experience with software development and 5 years of experience in a technical leadership role.
  • Experience designing and implementing scalable AI and agentic solutions for global enterprises.
  • Experience with multi-agent systems, memory persistence, and dynamic planning using frameworks like LangGraph, CrewAI, or AutoGen.
  • Experience tracking agent trajectories, managing cost and latency, and implementing Large Language Model (LLM)-as-a-judge frameworks like Phoenix or LangSmith.
  • Experience implementing prompt injection mitigation, sandboxed code execution, and human-in-the-loop checkpoints.
  • Experience with offline, online, and reinforcement learning based validation.
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