Engineering Manager, People Ops Engineering

Google LLC

Hyderabad

On-site

INR 4,000,000 - 9,000,000

Full time

42 hours ago
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Job summary

Google is seeking a Software Engineering Manager in Hyderabad to lead multiple engineering teams, drive technical strategy, and oversee major AI/ML projects. You will oversee product roadmaps, mentor engineers, and ensure scalable, reliable distributed systems across complex workloads.

The role emphasizes both technical depth and people leadership, with collaboration across cross-functional teams and global partners. In-person interactions are part of the hiring process.

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 and distributed computing for AI/ML workloads.

Responsibilities

  • Lead multiple engineering teams and manage project goals.
  • Contribute to product strategy and roadmap.
  • Design scalable AI/ML architectures and distributed systems.

Skills

Leadership
Full-stack development
Distributed computing
AI/ML systems
Technical leadership
Team management

Education

Bachelor’s degree or equivalent practical experience

Tools

LangGraph
CrewAI
AutoGen
Phoenix
LangSmith

Job description

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.info_outlineXIn most instances, this position requires in-person interviews as part of the hiring process.

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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