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.
As a part of the Release Channel team, your mission is to balance continuous release velocity with production stability through automated, multi-tiered rollout channels in Google Cloud Platform (GCP) BigQuery.
In this role, you will serve as a core technical leader driving the long-term goal, strategy, and architecture for BigQuery’s release channel capacity management. You will solve complex distributed systems and capacity fragmentation challenges and partner closely with Workload Management to define and execute a shared, multi-year roadmap that fuels the horizontal growth and expansion of release channels across all components in BigQuery. You will navigate high technical ambiguity and address deep distributed systems challenges, resolving severe capacity constraints and large-scale resource fragmentation to ensure sustainable and high stability growth of channelization.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience in the following: Backend, Cloud, Large-Scale Distributed Systems.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience with Capacity Management and Capacity Planning; designing and building high-performance backend systems, particularly solving challenges in capacity planning, resource fragmentation, constrained resource allocation, or dynamic provisioning.
- Experience programming in C++.
- Experience with Big Data.
- Deep understanding of large-scale distributed systems, including compute/resource scheduling, workload management, or high-scale data analytics infrastructure.
- Proven track record of providing technical leadership, defining long-term technical goal, and driving multi-year architectural roadmaps in highly ambiguous domains, with demonstrated experience leading and mentoring other SWEs.