Senior Staff Software Engineer, Google Cloud Storage
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 5 years of experience programming in Java, C++ or Go.
- 5 years of experience with distributed systems concepts like data replication, consistency models and fault tolerance.
- 5 years of experience with file systems or storage management.
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.
- Experience with linux kernel internals.
- Experience with distributed Machine Learning and Machine Learning infrastructure.
About the job
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.
Google Cloud Storage (GCS), a planet-scale object storage system that powers both Google and Google Cloud customers, manages exabytes of data across hundreds of trillions of objects, processing millions of queries per second. This distributed service supports major global AI, consumer, and enterprise companies, as well as numerous startups, and is a key business driver for Google Cloud. The GCS AI/ML Solutions team develops products, which provides a simple and performant file interface that makes GCS a preferred storage solution for AI/ML workloads on GCP.
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.
Responsibilities
- Help us figure out a roadmap to make GCS the best Cloud Storage for AIML workloads.
- Lead a team of engineers to design, develop, and deploy new GCS features and enhancements. Provide technical guidance, mentorship, and code reviews to ensure high-quality software development.
- Architect and design scalable, reliable, and performant systems that meet the needs of GCS growing AI/ML customer base. Make data-driven decisions to optimize system performance and efficiency.
- Troubleshoot complex technical issues, analyze performance bottlenecks, and develop innovative solutions to address customer tests. Collaborate with cross-functional teams to resolve issues.
- Stay abreast of the latest trends in AI and drive innovation within the GCS team. Propose and implement new features that enhance GCS capabilities and differentiate it from performers.
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