Sr Software Engineer - Graph Platform

About The Role

At Uber, we are building a Graph Engineering team to design, implement, and operate a next-generation graph platform powered. In this role, you will be instrumental in defining the architecture, data models, and operational best practices for our enterprise-scale graph database. As a Senior Engineer on the team, you will help design, build, and operate a large-scale graph infrastructure that powers critical business usecases and agentic AI experiences across multiple teams at Uber.

You will work closely with cross-functional teams-product, AI/ML, Risk, and platforms-to unlock insights from highly connected data, support advanced analytics, and enable agentic AI workflows .

What The Candidate Will Need / Bonus Points

• What the Candidate Will Do
• Design and develop architecture of a new graph platform - prioritizing scalability, reliability, and efficiency.
• Collaborate with several cross-functional teams to define requirements and translate them into technical specifications.
• Optimize existing infrastructure pieces for efficiency, speed, and accuracy.
• Devise and implement solutions that seamlessly scale with the growing needs of our user base.
• Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement
  
  

Basic Qualifications

• BS or MS in Computer Science or a related technical discipline, or equivalent experience
• 6 years of full-time engineering experience
• Highly proficient in one of the following programming languages: Java, Go, C/C and ability to pick up new ones.
• Systematic problem-solving approach and knowledge of algorithms, data structures and complexity analysis.
• Experience building graph systems/databases
  
  

Preferred Qualifications

• Deep experience with building and operating graph systems / databases (ex, Neo4j with experience in building Cypher based or equivalent graph DSL)
• Proven track record designing opinionated schema for knowledge graphs / enterprise graphs.
• Familiarity with LLMs, retrieval augmented generation (RAG), or AI / ML agentic workflows is a big plus.
• Strong problem-solving skills and ability to articulate graph-based solutions to non-graph engineers.
• Experience with highly available/fault-tolerant, replicated data storage systems, or enterprise/cloud storage systems
• 3 years of experience building and managing distributed systems.
  
  

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.