Google Beam is a new communication technology that aims to solve the problem of distance by allowing users to feel like they are having real, face-to-face conversations across any distance. The Beam Core Apps team is building the future of immersive connection. The quality and velocity of engineering rely on observability. As a Data and Telemetry Software Engineer, the problem is to build the infrastructure to capture performance data across client and cloud, driving technical strategy beyond simple logging to create a robust foundation for product health and user insights.
Requirements
- 2 years of experience with C++ programming, including experience with codebases in a Linux or Unix environment.
- 2 years of experience with software development in one or more general-purpose programming languages.
- 1 year of experience with data analytics, telemetry, logging infrastructure, or creating data dashboards.
- Experience with TypeScript or frontend web technologies for building internal tools and dashboards.
- Experience with distributed systems, data processing, and managing high-volume data pipelines.
- Experience optimizing software for performance, latency, and resource usage in a resource-constrained environment.
- Familiarity with data visualization tools (e.g., internal Google tools like Dasnav/Plx, or external tools like Tableau/Grafana).
Responsibilities
- Design, develop, and maintain scalable telemetry infrastructure and client-side instrumentation using C++ to capture product health and performance metrics.
- Collaborate with engineering peers, product managers, and user researchers through design and code reviews to ensure data accuracy, efficiency, and adherence to style guidelines.
- Build and optimize data visualization dashboards and pipelines that provide actionable insights into system reliability, latency, and user experience.
- Triage product or system issues and debug/track/resolve by analyzing telemetry data to pinpoint sources of instability across hardware, network, or service operations.
- Contribute to documentation regarding data schemas and instrumentation guides, adapting content based on product updates to enable self-service insights for the wider team.
Other
- 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.
- Preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
