Google

Staff Software Engineer, App Observability and Performance Data

place San Francisco, CA, USA ; San Jose, CA, USA

Found: Today

Staff Software Engineer, App Observability and Performance Data

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.

Join the Primes organization—a team dedicated to building scalable, robust, and developer-friendly infrastructure.

As a Staff Software Engineer on the Primes team, you will design the next generation of performance and system-health tooling that powers Google’s flagship mobile and web applications.

Primes is the centralized diagnostics solution for nearly all Google consumer apps. You will build telemetry systems to keep our most critical applications including Search, YouTube, Maps, and Android fast, stable, and seamless for billions of users. Leveraging your expertise in high-throughput data processing and performance optimization, your contributions will directly enhance reliability on a global scale. Additionally, you will mentor a talented engineering team, drive technical vision, and help Google consistently deliver highly performant applications.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.
In most instances, this position requires in-person interviews as part of the hiring process.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; San Jose, CA, USA.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, launching software products, and leading performance optimization.
  • 5 years of experience building large-scale infrastructure, high-throughput data processing systems, or storage systems.
  • 3 years of experience with software design, architecture, and debugging tools.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional projects with partners (e.g., Program Management (PgM), PM, UX, and UX Researcher (UXR)).
  • Experience with Kotlin, data analytics, SQL, and customer engagement.

Responsibilities

  • Build diagnostics and telemetry to keep critical apps fast, stable, and seamless for users.
  • Design and scale the next generation of performance and system-health tooling for mobile and web applications.
  • Drive performance and reliability across critical applications and infrastructure, such as Search, YouTube, Maps, Gemini, and Android.
  • Process high-throughput data from client app telemetry using debugging tools and data analytics.
  • Mentor engineers and provide technical leadership across team boundaries to deliver scalable client infrastructure.

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