Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python. Preferred qualifications: 15 years of experience as a software engineer and architect. Experience with ML infrastructure, frameworks, algorithms and tools. Experience in distributed storage and file system. 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 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 Act as the overall Technical Lead for FUSE (GCSFuse) and the site lead for the storage AI/ML Solutions organisation in Hyderabad. Partner with engineering management and local teams to architect, execute, and scale the core storage charter across GCSFuse, FusionFS, client-side data paths, benchmarks, and performance optimization. Drive the technical roadmap and innovation strategy for client-side AI/ML storage, directly expanding the team's scope, capabilities, and business impact. Advocate the design, execution, and tuning of planet-scale benchmarks to cement GCP Storage as the undisputed industry leader for AI/ML workloads.