Staff Software Engineer, GCS Blobstore Metadata
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience testing, and launching software products.
- 5 years of experience with core infrastructure, large-scale distributed data technologies or cloud-based platforms.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Understanding of database internals or experience optimizing Spanner-based metadata stacks for scalability.
- Expertise in designing and implementing mission-critical, large-scale distributed storage systems.
About the job
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.
The Google Customer Solutions (GCS) Metadata team is re-architecting the planet-scale foundation of Blobstore, a distributed storage system managing over 100 trillion objects for products like YouTube and AI/ML. As a Technical Lead, you will drive the evolution of this next-generation stack, balancing deep technical mastery of metadata infrastructure with organizational influence. This role offers the opportunity to lead critical architectural decisions and deliver massive impact on reliability and efficiency for billions of users.
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
- Lead the design and implementation of mission-critical Blobstore metadata software, driving key technical decisions and long-term architectural evolution.
- Identify bottlenecks and optimize Spanner-based stacks to improve reliability, cost-efficiency, and global scalability.
- Partner with GCS Engineering Leads and SRE to drive storage optimizations and represent the team in high-level technical reviews.
- Translate complex requirements from partners like YouTube and AI/ML into core capabilities, influencing their architectures for optimal integration.
- Foster a culture of engineering excellence by leading high-impact projects and mentoring team members to support their professional growth.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.