Staff Software Engineer (Backend) - Gen AI

About the Role The Insurance Engineering team builds and maintains critical services and tools for Uber's Insurance needs. The team processes millions of dollars worth of claims each year, focusing on automating and optimizing claims processing to save millions that directly impact Uber's bottom line. This high‑impact team is critical to day‑to‑day operations and has a pipeline of innovative products and technology that will help us lead in the InsureTech space. Responsibilities Work closely with stakeholders to understand business requirements and build cross‑functional solutions that impact all insurance‑related business needs. Contribute to the technical roadmap by developing innovative features and solving complex problems. Provide technical expertise and input to shape the vision for your area, while executing on product requirements. Design and collaborate with multiple partners, both internal and external, to develop and maintain critical services and tools. Drive and improve the scalability, reliability, and efficiency of critical systems. Basic Qualifications Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field, with 5+ years of full‑time engineering experience. Experience in hands‑on software development with an emphasis on scale, latency, and distributed architecture. Highly efficient coding in Golang, Java, or any similar languages. Proven track record of delivering high‑quality software and contributing to impactful projects. Ability to execute on a product roadmap and collaborate effectively with cross‑functional teams. Excellent communication skills, both written and verbal. English proficiency. Algorithm & Data Structures fundamentals. Preferred Qualifications Full‑stack skills, being able to contribute across the frontend and backend stack as needed. Hands‑on experience with streaming and real‑time data pipelines (e.g., Kafka‑like systems, stream processing frameworks). Exposure to machine learning systems in production, including model integration, feature pipelines, or ML‑powered decision systems. Exposure to GenAI (LLMs, Agentic systems). Strong background in scalability engineering, data consistency, and system observability. Track record of influencing architecture and technical direction across multiple teams. Salary and Benefits For San Francisco, CA‑based roles: The base salary range for this role is USD$232,000 per year – USD$258,000 per year. For Sunnyvale, CA‑based roles: The base salary range for this role is USD$232,000 per year – USD$258,000 per year. All full‑time employees are eligible to participate in a 401(k) plan and may also receive a bonus program and equity awards. #J-18808-Ljbffr SupportFinity™