Senior Software Engineer

About the Role

The Uber Eats Home Feed is the digital storefront for millions of users worldwide. As a Senior Engineer on this team, you will build a hyper-personalized experience that directly drives Uber’s top-line growth. You won't just be ranking restaurants; you’ll be architecting a high-concurrency engine that balances complex objectives across Ads, Grocery, Retail, and Food Delivery. This is a high-stakes, low-latency environment where your code determines how billions of dollars in gross bookings are distributed across diverse lines of business.

---- What the Candidate Will Do ----

1. Design and develop robust backend services to support the evolving Uber Eats Feed, ensuring sub-second response times for global traffic.
2. Partner with Product, Data Science, and ML teams to deliver innovative features that balance user personalization with business goals like Ad revenue and Grocery expansion.
3. Take end-to-end ownership of large-scale features, from initial technical design and RFCs to implementation and post-launch optimization.
4. Architect efficient APIs and storage strategies to handle the real-time data flows required for a dynamic, multi-vertical marketplace.
5. Mentor junior and mid-level engineers through rigorous code reviews, design critiques, and the promotion of engineering best practices.
6. Contribute to the Feed team’s technical strategy by identifying architectural bottlenecks and proposing long-term solutions.

---- Basic Qualifications ----

1. Professional software development experience, with a proven track record of shipping production-grade backend services.
2. Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
3. Strong proficiency in at least one backend language, preferably Go or Java.
4. Demonstrated ability to design and implement distributed systems that handle high traffic and large-scale data sets.

---- Preferred Qualifications ----

1. Prior experience building Discovery, Search, or Recommendation systems at scale.
2. Hands-on experience with NoSQL databases (Cassandra, Schemaless), distributed caching (Redis, Memcached), and message queues (Kafka).
3. Familiarity with integrating Machine Learning models into real-time production workflows and managing high-throughput data pipelines.
4. Deep understanding of observability, performance profiling, and "five-nines" reliability engineering.
5. Passion for building engaging and delightful product experiences for customers.

For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link .

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 .

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.