Senior Software Engineer, Google Cloud Storage

Overview

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in C++, Java or Python.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
  

• Experience in distributed systems and storage systems.
  
  

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 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.
• Take ownership of new features from concept to launch by writing scalable code, authoring comprehensive design documents, and providing critical feedback in design reviews to influence technical direction.
• Systematize benchmark GCS client performance for critical AI/ML and workloads. Use profiling and analysis to identify bottlenecks and implement optimizations that deliver measurable gains in throughput and latency.
• Take an active role in debugging complex, real-world customer issues. Analyze client-side behavior, trace problems through the stack, and implement code changes in our SDKs and connectors to resolve them, directly improving customer satisfaction.
• Enhance the telemetry and observability of our clients by adding structured logging and metrics that make it faster to diagnose future customer issues and understand performance characteristics in production environments.
  
  
  

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .