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Uber Logo Uber · IT - Software Development

Sr Software Engineer - Graph Platform

United States, San Francisco 202000.00 - 224000.00 USD / Year · Job Posted January 26, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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

What we offer

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
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