Senior Software Engineer - Data Storage

Senior Software Engineer - Data Storage Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role** This is an exciting opportunity to work at the one of the largest Data stacks in the industry with over 1 Exa-Bytes of data in Uber’s DataLake. Uber Data Storage team serves Batch Analytics, Streaming Processing as well as AI/ML workload. The team is building several new solutions to catch up with growing needs in performance, scale and efficiency. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- - Learn the internals of big data infrastructure at Uber scale. - Deep dive into specific technologies, understanding related source code and configuration. Fine-tune these systems to improve overall performance and reliability - Find and build solutions to innovate the Cloud usage, striking the balance of performance and efficiency - Leverage Uber’s Agents platform to build solution to better serve customers - Work independently or as a team player with other team members to solve complex technical problems. - Evaluate pros and cons of different solutions and make decisions based on various situations accordingly. \-\-\-\- Basic Qualifications ---- - Bachelor’s degree in Computer Science or related field. - 5+ years of industry engineering experience. - Strong engineering skills, including reading open source code, implementing solutions and performance tuning. - Bias for action. Execute fast. - Experience in distributed systems or machine learning systems, programming languages such as Python, Rust, Go and Java \-\-\-\- Preferred Qualifications ---- - MS / PhD in Computer Science or related field. - Experience with AI/ML or big data frameworks (e.g. Pytorch, Ray, Iceberg, Lance, Gravitino, Polaris) - Experience developing with solutions leveraging Cloud Object Store like S3/GCS/Azure/OCI. - Experience developing with supporting business critical systems with 99.9+ availability - Experience with modern large scale of AI infrastructure For Seattle, WA-based roles: The base salary range for this role is USD$