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 ---- 1. Design and develop architecture of a new graph platform – prioritizing scalability, reliability, and efficiency. 2. Collaborate with several cross-functional teams to define requirements and translate them into technical specifications. 3. Optimize existing infrastructure pieces for efficiency, speed, and accuracy. 4. Devise and implement solutions that seamlessly scale with the growing needs of our user base. 5. Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement **Basic Qualifications** 1. BS or MS in Computer Science or a related technical discipline, or equivalent experience 2. 6+ years of full-time engineering experience 3. Highly proficient in one of the following programming languages: Java, Go, C/C++ and ability to pick up new ones. 4. Systematic problem-solving approach and knowledge of algorithms, data structures and complexity analysis. 5. Experience building graph systems/databases **Preferred Qualifications** 1. Deep experience with building and operating graph systems / databases (ex, Neo4j with experience in building Cypher based or equivalent graph DSL) 2. Proven track record designing opinionated schema for knowledge graphs / enterprise graphs. 3. Familiarity with LLMs, retrieval augmented generation (RAG), or AI / ML agentic workflows is a big plus. 4. Strong problem-solving skills and ability to articulate graph-based solutions to non-graph engineers. 5. Experience with highly available/fault-tolerant, replicated data storage systems, or enterprise/cloud storage systems 6. 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](https://www.uber.com/careers/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.