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 ----
• Design and develop robust backend services to support the evolving Uber Eats Feed, ensuring sub-second response times for global traffic.
• 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.
• Take end-to-end ownership of large-scale features, from initial technical design and RFCs to implementation and post-launch optimization.
• Architect efficient APIs and storage strategies to handle the real-time data flows required for a dynamic, multi-vertical marketplace.
• Mentor junior and mid-level engineers through rigorous code reviews, design critiques, and the promotion of engineering best practices.
• Contribute to the Feed team's technical strategy by identifying architectural bottlenecks and proposing long-term solutions.
• Basic Qualifications ----
• Professional software development experience, with a proven track record of shipping production-grade backend services.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Strong proficiency in at least one backend language, preferably Go or Java.
• Demonstrated ability to design and implement distributed systems that handle high traffic and large-scale data sets.
• Preferred Qualifications ----
• Prior experience building Discovery, Search, or Recommendation systems at scale.
• Hands-on experience with NoSQL databases (Cassandra, Schemaless), distributed caching (Redis, Memcached), and message queues (Kafka).
• Familiarity with integrating Machine Learning models into real-time production workflows and managing high-throughput data pipelines.
• Deep understanding of observability, performance profiling, and "five-nines" reliability engineering.
• 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 Sunnyvale, CA-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 https://jobs.uber.com/en/benefits., 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 Sunnyvale, CA-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 https://jobs.uber.com/en/benefits.