Senior Software Engineer, Serverless

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Kirkland, WA, USA;
Seattle, WA, USA.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture; and testing/launching software products.
• 5 years of experience with serverless computing concepts and technologies on public cloud platforms (e.g., Google Cloud Run, Cloud Functions, App Engine, Kubernetes).

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience with API design, multi-tenancy, containerization, and security in cloud environments.
• Experience in infrastructure for AI workloads.
• Ability to contribute to open-source Serverless projects (e.g., Knative).

We are developing next-generation technologies that handle information at massive scale. As a software engineer, you will work on a critical project for Google Cloud Platform’s Serverless platform, Cloud Run, focusing on the data plane to support evolving AI workloads and agents. You will collaborate with product and engineering leadership to define long-term goals for platform modernization and sustainability, and drive operational excellence by improving platform health.

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Oversee architectural strategy and rollout of core back-end services for Cloud Run, primarily emphasizing the data plane to support the evolving needs of AI workloads and agents.
• Collaborate with executive product and engineering leadership to define and realize a long-term goal for stack modernization and platform sustainability.
• Drive operational excellence by identifying and executing systematic enhancements to platform health.

US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits

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. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.