Engineering Manager Google Cloud

Google; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Google is seeking an Engineering Manager in Bengaluru to lead design and delivery across large-scale distributed systems and AI/ML initiatives. You will guide multiple teams, set technical direction, and help grow engineers while driving product strategy in a fast-paced environment.

Ideal candidates bring extensive software development experience, proven leadership across cross-functional projects, and a track record of stabilizing and scaling high-impact teams within Google Cloud and related

Qualifications

• 8 years of software development experience with 3 years in a technical leadership role.
• 8 years building large-scale infrastructure or distributed systems.
• 2 years in people management or team leadership.

Responsibilities

• Lead design and implementation of a holistic, self-healing resource distribution ecosystem.
• Operationalize Agentic Fleet Management and artifact-driven development.
• Address challenges at the intersection of large-scale distributed systems and policy enforcement.
• Collaborate with Core Cloud AI, ML Fleet, SRE, and product areas to unify platform delivery.
• Coach and grow engineers, build leadership, and promote technical excellence.

Skills

Technical leadership

People management

Distributed systems

System design

Cross-functional collaboration

Education

Bachelor's degree in CS

Job description

Job Description:

Minimum qualifications:

• Bachelors degree in Computer Science or a related technical field, or equivalent practical experience.
• 8 years of experience in software development and 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 8 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Proven ability to lead complex, cross-functional technical projects from conception to completion and drive technical strategy in a multi-stakeholder environment.
• Familiarity with performance analysis, modeling, and tuning of complex systems, particularly in the areas of resource management.
• Deeply technical Engineering Manager (EM) with a proven track record of stabilizing and growing high-impact teams.

About the job:

Like Googles 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:

• Lead the design and implementation of a holistic, self-healing resource distribution ecosystem. Turn a big-picture goal into concrete projects for yourself and the team.
• Operationalize the potential of Agentic Fleet Management. Lead the transition to artifact-motivated software development, ensuring that user intent is captured as structured artifacts to guide autonomous agents.
• Manage high-impact challenges at the intersection of large-scale distributed systems, risk modeling, and policy enforcement. Design universal, high-level resource abstractions that operate above the level of a single data center.
• Collaborate with partner teams across the Core Cloud Artificial Intelligence (C2ai) organization, ML Fleet, Site Reliability Engineering (SRE), and all Product Areas to define requirements and deliver a unified platform.
• Coach and grow engineers on the team, build a strong leadership bench, while fostering a culture of technical excellence, strategic thinking, and innovation.