Senior Software Engineer, Google Cloud Storage (english, Mandarin)

Senior Software Engineer, Google Cloud Storage (English, Mandarin)

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. We are Google Cloud Storage is a distributed service that supports global Artificial Intelligence (AI), consumer, and enterprise companies, as well as startups. The GCS Clients team is the primary interface for all users and applications accessing the capabilities of Google Cloud Storage (GCS). Our mission is to enable customer success for the demanding Artificial Intelligence/Machine learning (AI/ML) and investigative workloads.

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 (Software Development Kits (SDKs), Command-line Interface (CLI), connectors). Focus on making code changes that improve performance, add features, and enhance the overall customer experience.
• Take ownership of new features from concept to launch by writing code, authoring design documents, and providing feedback in design reviews to influence technical direction.
• Benchmark GCS client performance for AI/ML and analytics workloads.
• Work on real-world customer issues. Analyze client-side behavior, trace problems through the stack, and implement code changes in the SDKs and connectors to resolve them.
• Enhance the telemetry and observability of the clients by adding structured logging and metrics that make it efficient to diagnose future customer issues.