Software Engineering Manager II, Big Query, Google Cloud

Senior • On-site

$197,000 - $291,000/yr

Kirkland, WA

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience building and developing large-scale infrastructure or distributed systems.
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a matrixed organization.
Experience in developing query processing engines for a SQL relational database, or large-scale distributed systems.
Experience in distributed computing.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

BigQuery is a foundational component of Google Cloud, serving as a fully managed, exabyte-scale cloud data warehouse that is experiencing rapid growth.

The BigQuery Metadata team is central to this success. We build and operate the scalable, reliable, and high-performance metadata services that underpin all BigQuery operations. Our core mission is to manage metadata for all BigQuery services and managed data sources at scale. We are responsible for reliably storing, replicating, and efficiently resolving this metadata, while ensuring high performance, enterprise-grade features, and a reduced operational burden. This work is critical to BigQuery's continued growth and evolution..

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 $197,000-$291,000 + 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.

Responsibilities

Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
Set clear expectations with individuals based on their level, role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance, development and provide feedback and coaching.
Develop the mid-term technical roadmap within the scope of your often multiple teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Define and execute the technical strategy for achieving industry leading price/performance on SQL query processing for a variety of workloads, from Online Transaction Processing (OTLP) to hybrid transactional, problem-solving to multi-modal queries that combine relational, graph, full-text and vector search criteria.
Lead a team of 7-8 engineers across query planning and execution. Own performance and reliability goals, inside spanner's distributed query engine.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.