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. 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.
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.
