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Software Engineering Manager Google Cloud

Google

Bengaluru, Karnataka, IndiaOn Site

Original Job Summary

About the Role

The Software Engineering Manager Google Cloud at Google leads engineering teams, drives major projects, and develops technical vision and strategy. This role combines technical expertise with people management, ensuring best practices and high-quality code reviews.

Minimum Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 8 years in software development using languages like Python, C, C++, Java, or JavaScript.
  • 3 years in a technical leadership role.
  • 2 years in people management or team leadership.

Preferred Qualifications

  • Master's degree or PhD in Computer Science or related technical discipline.
  • 3 years of experience in a complex, matrixed organization.

Job Responsibilities

  • Set and communicate team priorities and strategic directions.
  • Align strategy, processes, and decision-making across multiple teams.
  • Conduct regular performance meetings, provide feedback and coaching.
  • Develop mid-term technical vision and roadmap for teams.
  • Guide system designs and review code to ensure quality and best practices.

About Google and the Team

The AI and Infrastructure team solves some of the world’s toughest problems at unmatched scale, efficiency and reliability. This role is central to building and deploying large-scale systems including AI, natural language processing, distributed computing, and more. Join a diverse team that drives future technology at Google Cloud.

Key skills/competency

  • Software Development
  • Technical Leadership
  • People Management
  • System Design
  • Project Management
  • AI & Infrastructure
  • Cloud Computing
  • Distributed Systems
  • Code Review
  • Strategic Planning

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google culture: Study their mission, projects, and news.
  • Customize your resume: Highlight relevant leadership and technical skills.
  • Leverage networking: Connect with current or past employees on LinkedIn.
  • Prepare for technical interviews: Review system design and coding problems.

📝 Interview Preparation Advice

Technical Preparation

Review system design case studies.
Practice coding in Python and Java.
Study distributed systems architecture.
Refresh cloud and AI technical principles.

Behavioral Questions

Describe managing under pressure.
Explain conflict resolution with team.
Discuss feedback giving strategies.
Share leadership decision-making examples.