Senior Software Engineer — Developer Productivity & Telemetry

Google LLC; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Mountain View engineers are building scalable backend services and automation for Geo developer workflows. The role emphasizes API design, data contracts, and telemetry to measure AI-assisted tool quality and impact.

Expect work on evaluation harnesses, telemetry pipelines, and dashboards to translate complex engineering telemetry into actionable insights. Collaboration across teams is essential in a fast-paced environment.

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).

Responsibilities

• Design, build, test, and maintain robust, scalable backend services and automation infrastructure supporting Geo's developer workflows.
• Architect reliable APIs and data contracts connecting execution systems, developer tooling, and build/test infrastructure.
• Design and implement evaluation harnesses, telemetry pipelines, and analytics platforms to measure the quality and impact of AI-assisted engineering tools.
• Establish automated feedback loops that translate execution traces and developer telemetry into continuous improvements for system performance.
• Build unified visualization dashboards and reporting interfaces that translate complex engineering telemetry into actionable insights.

Skills

Software development

Programming languages

Education

Bachelor's degree

Master's degree or PhD (preferred)

Tools

Compilers

Automated releases

Code design

Testing

Test automation frameworks

Job description

Google Mountain View engineers are building scalable backend services and automation for Geo developer workflows. The role emphasizes API design, data contracts, and telemetry to measure AI-assisted tool quality and impact.

Expect work on evaluation harnesses, telemetry pipelines, and dashboards to translate complex engineering telemetry into actionable insights. Collaboration across teams is essential in a fast-paced environment.