Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with design and architecture; and testing/launching software products.
5 years of experience developing and operating distributed storage solutions.
5 years of experience with the C++ programming language, in large-scale systems.
3 years of experience in designing and implementing resource management strategies.
Preferred qualifications:
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
5 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.
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 Infrastructure Storage team powers all Google applications, from YouTube and Photos to Google Cloud, by providing essential storage services. We ensure applications have the resources to succeed with efficient, reliable storage.
In this role, you will partner with the Infrastructure Storage I/O Tech Lead to optimize storage I/O availability for internal applications. You will collaborate with both customer teams and infrastructure teams to develop new functionality that boosts Google's storage efficiency and simplifies storage management for internal applications.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 (https://careers.google.com/benefits/) .
Partner with infrastructure and analytics teams to develop metrics, systems, and models for optimal, low-risk I/O provision across the fleet, supporting all critical Google AI/ML and traditional workloads.
Lead the design of a multi-cluster storage resource management optimizer, balancing SSD/HDD use and integrating for spatially aware batch and AI/ML workloads.
Deliver engineering projects to ease customer access to storage, removing location constraints. Design software for increased centrally managed services via simplified user experience and automated back-end allocation/scaling.
Execute projects like SSD overcommit, cross-cell I/O congestion management, and SSD oversubscription for the Scratch product. Develop an I/O roadmap to boost storage efficiency.
Model fleet efficiency/I/O demand to inform purchasing, planning, and roadmap prioritization. Develop and implement end-to-end metrics and SLOs for new I/O features' customer experience.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.