Senior Software Engineer, Google Cloud Storage
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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 testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- Experience with storage technologies.
- Experience with AIML and Analytical workloads.
- Experience in building and maintaining infrastructure software in a distributed environment.
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 is the foundational object storage for Google's cloud. This is a planet-scale distributed storage system manages exabytes of user data, trillions of objects, terabytes of traffic, and millions of queries per second, we are some of the world’s largest enterprise companies to innovative startups across industries.
In this role, you will be responsible for software that enables high-performance access including GCS SDKs, the CLI, open-source connectors for Hadoop, Iceberg, and PyTorch, and GCS Fuse. Your mission is to provide first-party support for these frameworks, enabling customers to run their large-scale Analytics and AI/ML workloads. You will be re-architecting the software stack and expanding the integrations.
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
- Design, code, and test improvements across the GCS client stack (SDKs, CLI, connectors). Focus on making direct code changes that improve performance, add features, and enhance the overall customer experience.
- Systematically benchmark GCS client performance for critical AI/ML and analytics workloads. Use profiling and analysis to identify bottlenecks.
- Debug complex, real-world customer issues. Analyze client-side behavior, trace problems through the stack, and implement robust code changes in the SDKs.
- Enhance the telemetry and observability of the clients by adding structured logging and metrics that make it faster to diagnose future customer issues and understand performance characteristics in production environments.
- Actively participate in code reviews, provide constructive feedback to team members and improve code quality across the team.
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