Senior Software Engineer, Cloud, Dataproc, Control-Plane

Senior Staff Software Engineer, Cloud, Dataproc, Control-Plane

Location:

Kirkland, WA, USA;
Sunnyvale, CA, USA. Employment level:
Advanced.

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years
• 40 hours per year sick time (69 hours per year for Seattle), including 5 discretionary sick days per instance
• Maternity leave 28‑30 weeks
• Baby bonding leave 18 weeks
• 13 paid holidays per year

Eligible US‑based employees may choose Kirkland, WA or Sunnyvale, CA as the working location.

• Bachelor’s degree or equivalent practical experience
• 8 years programming in C++
• 5 years design, architecture, and testing/launching software products
• Experience with cloud computing, cloud APIs and control planes
• Experience with software architecture and scalability

• Master’s degree or PhD in Engineering, Computer Science, or related field
• 8 years experience with data structures and algorithms
• 5 years technical leadership, leading project teams, setting technical direction
• Experience in long‑term technology tests across interdependent services (scalability, maintainability, deployability, reliability, supportability)
• Experience driving software architecture evolution both tactically and strategically
• Ability to influence across multiple teams and geographies

Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. The Managed Spark Service (formerly Dataproc) enables open‑source data analytics workloads in the cloud. In this role you will manage field issues such as multi‑tenant security, cluster management, capacity planning, and startup performance while maintaining cost efficiency. You will influence technical direction across the Managed Spark ecosystem and broader company, and integrate AI‑driven management tools to enhance productivity.

Individual pay ranges: $262,000–$365,000 USD, plus 25% bonus target, equity, and benefits.

• Define product differentiating features in ambiguous problem spaces
• Build high‑impact customer‑facing features to make Cloud Dataproc the best place to run Hadoop and Spark in the cloud
• Make Cloud Dataproc the best product for data science and engineering workloads
• Influence and oversee big‑data open‑source initiatives including contributions to Spark, Flink, Presto, etc.

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Google is an equal‑opportunity employer committed to building a diverse workforce. We provide equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related condition. For more information see Google’s EEO Policy.

If you require accommodation, complete Google’s Accommodations for Applicants form. English proficiency is required for all roles. Google does not accept agency resumes. Equity grants are discretionary and subject to approval by Alphabet Inc. board.