Staff Software Engineer, Processing and Serving, Google Photos

1 Month ago • 8 Years + • Backend Development • Full Stack Development

Job Summary

Job Description

The Staff Software Engineer role within Google Photos' Processing and Serving team focuses on building and maintaining the backend infrastructure powering key features. Responsibilities include collaborating with cross-functional partners to define team goals and strategy, delivering high-quality software solutions, building automation platforms for faster development (especially for ML features), improving cost and capacity management, and enhancing system reliability and performance. The ideal candidate will have extensive software development experience (8+ years), technical leadership experience (3+ years), and people management experience (2+ years). The team manages millions of queries per second, serving users worldwide.
Must have:
  • 8+ years software development experience
  • 3+ years technical leadership
  • 2+ years people management
  • Experience with large-scale data processing
  • Build reliable and maintainable services
Good to have:
  • Master's degree in CS
  • LLM experience
  • Experience with PS1, Conduit, Kronos
  • Production system & security expertise
  • Customer relationship management

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 3 years of experience in a technical leadership role; overseeing projects.
  • 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience with Large Language Model (LLM).
  • Experience in building/maintaining highly scalable data processing infrastructure (e.g., PS1, Conduit, Kronos, etc.).
  • Experience with production systems and privacy/security.
  • Experience with establishing and maintaining relationships with customer teams.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Photos Processing and Serving team is responsible for the Photos backend processing infrastructure that powers many of the critical features in Google Photos, serving users across the world. We build reliable and maintainable services and platforms that manage millions of queries per second (QPS).Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

Responsibilities

  • Collaborate with cross-functional partners to define the team's goal, strategy, and roadmap, ensuring alignment with overall Google Photos goals.
  • Deliver software solutions that delight users and contribute to the success of Google Photos.
  • Build automation platforms to accelerate prototyping and feature development, especially in enabling Machine Learning (ML) motivated features.
  • Build tools to improve cost and capacity management, help Photos team make tradeoff decisions to balance performance and cost.
  • Improve system reliability, performance, and maintainability that powers user features.

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