Senior Software Engineer, Dataproc, Control Plane

Senior Staff Software Engineer, Dataproc, Control Plane Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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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.

• 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.
• Experience with cloud computing and cloud APIs.
• Experience with software architecture and scalability.

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

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're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;

the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.

Cloud Dataproc enables open source data analytics users to modernize their open-source big data analytics workloads in the cloud. Dedicated to meeting customers where they are, Dataproc enables users to quickly provision and manage clusters and workloads.

As a Senior Staff Software Engineer, you will lead our control plane or service layer, driving architectural and infrastructural evolution. You will enable team/organization scaling and exert influence across Software Engineers spanning across all areas of the Dataproc service, and well beyond.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Define product differentiating features in an ambiguous problem space.
• Build high-impact customer-facing features which make Cloud Dataproc the best place to run Hadoop and Spark in the cloud.
• Influence and oversight across big data open-source initiatives…