About the role

Uber Eats is the fastest growing food delivery platform in the world! Our team's work at Uber Eats directly impacts and continues to impact our communities.

We are building foundational systems that help Uber Eats better understand and represent merchants on the platform. The Merchant Intelligence team focuses on improving the quality, consistency, and usability of merchant-related data, and enabling downstream product experiences such as onboarding, discovery, and operations.

As an engineer on this team, you'll work on large-scale backend systems that ingest, reconcile, and serve merchant data, partnering closely with product and platform teams across Uber Eats.

What You will do

1. Strong backend engineering experience (distributed systems, APIs, data modeling)
2. Experience building and operating production systems that handle large or complex datasets
3. Comfort working with imperfect or evolving data
4. Ability to reason about system design, ownership, and long-term maintainability
5. Bias toward shipping incremental improvements with clear user or business impact
6. Strong collaboration and communication skills

What You Will Need**:**

1. 6+years of experience building large-scale distributed systems with experience in architecture design and developing high availability and high-performance systems2. Bachelor's degree in Computer Science, Software Engineering, or a related field.
2. Proficiency in at least one programming language such as Java, Go, etc.
3. Deep understanding and experience with backend services, large-scale systems, multi cloud infrastructure, etc.
4. Ability to contribute to technical innovation and problem-solving within a team setting.

Preferred qualifications:

1. Strong passion to learn new technologies quickly and adapt to the rapidly evolving business and technological landscape.
2. Ability to perform in a fast-paced, multi-tasking environment with tight deadlines.
3. Strong teamwork and communication skills to effectively collaborate with other team members and stakeholders.
4. Enthusiasm for embracing new challenges and continuous learning to drive innovation. Proven track record of scaling systems on a multi-cloud infrastructure.
5. Demonstrated ability to mentor junior engineers and drive engineering excellence.
6. Experience with machine learning infrastructure and AI technologies is advantageous.

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 fuelds progress. What moves us, moves the world - let's move it forward, together.

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.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.