Software Engineer III, Engineering Productivity, Tools and Infra
Listed on 2026-06-22
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Software Development
Software Engineer, Full Stack Developer, DevOps, Cloud Engineer - Software
Software Engineer III, Engineering Productivity, Tools and Infra
Google place Mountain View, CA, USA
Qualifications- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
- Experience with Python, SQL, or Front-End Development.
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience with React.js, Angular, or Type Script.
- Experience with statistical analysis.
- Experience with Spanner or Napa.
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 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 Crystal ball team is dedicated to building premier tools designed to prevent performance regressions within the Android Platform, managing the complete end‑to‑end stack of performance test configuration, result storage, alerting systems, and workflows for bisection and triage. Android is Google’s mobile operating system powering more than 3 billion devices worldwide.
- Contribute key features in the performance A/B Benchmarking, Metric Visualization, Alerting, Bisection and Triage Workflows services within Android Crystal ball.
- Identify opportunities to improve the overall correctness of the alerting and bisection services.
- Improve the overall efficiency of the tools to save device utilization in the lab or manual workflows.
- Integrate AI in different workflows to reduce the end‑to‑end latency of the performance bugs and save cost.
US: $147,000 - $211,000 (USD) + 15% bonus target + equity + benefits.
EEO StatementGoogle is a proud equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.
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