Senior Software Engineer - Data Storage

About this role

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$202,000 per yea...