Staff Software Engineer - Eater Growth
UberNew York, United StatesPosted 24 March 2026
Tech Stack
Job Description
Staff Software Engineer - Eater Growth
Department: Engineering
Team: Backend
Location: New York, United States
Type: Full-Time
**About the Role**
Uber Eats has expanded beyond restaurants to support grocery, retail, and other emerging categories across global markets. The Early User Growth organization focuses on how new users discover, onboard, and engage with Uber Eats, driving sustainable and retentive growth across surfaces and early lifecycle journeys.
We are hiring a Staff Backend Engineer to shape and evolve the core systems powering Growth initiatives. In this role, you will define backend architecture, shared services, and experimentation infrastructure used across multiple teams. You will partner closely with Product, Design, and Data Science to translate complex business opportunities into scalable, reliable technical solutions serving millions of users.
This role requires strong architectural judgment, experience operating distributed systems at scale, and the ability to influence technical direction beyond a single team.
**What You Will Do**
1. Lead the design and evolution of core backend systems powering Early User Growth initiatives.
2. Define and drive platform architecture, APIs, and shared services used across multiple teams.
3. Partner with Product, Design, and Data Science to deliver scalable solutions that enable rapid experimentation.
4. Own system reliability, scalability, and long-term maintainability of Growth services.
5. Influence technical direction through design reviews, mentorship, and engineering best practices.
6. Improve experimentation velocity while maintaining high standards for operational excellence.
\-\-\-\- Basic Qualifications ----
1. Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field
2. 7+ years of full-time Software Engineering experience
3. Proven experience building and operating large-scale distributed systems in production
4. Strong fundamentals in algorithms, data structures, and system design
5. Experience designing scalable APIs, data models, and backend workflows
6. Experience with micros
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