Job Description

About the Role

The Uber Eats Merchant team develops systems and solutions to help Uber Merchants expand their businesses on the Uber Eats platform. This role involves addressing intricate challenges within the merchant platform specifically for Enterprise merchants operating across various locations.

What the Candidate Will Need / Bonus Points

- What the Candidate Will Do -





Architecting and Designing Systems: You'll lead the architecture of distributed backend systems, balancing scalability, security, and cost efficiency. You'll also design and implement large-scale tools and systems that are reliable and performant. Coding and Development: Writing high-quality, maintainable code is a core part of the job. This includes designing, coding, testing, and launching backend services and APIs at a global scale. You are also expected to "abstract and refactor" code as a passion, not a chore. Technical Leadership and Mentorship: Staff Engineers are expected to set the technical vision for their team and mentor junior engineers. You'll be responsible for conducting code reviews, participating in design discussions, and finding opportunities to improve team processes and promote standard practices. Collaboration and Strategy: You'll collaborate with cross-functional teams, including leaders, engineers, product managers and business stakeholders, to deliver solutions that drive business impact. This role involves aligning the team on solutions to ambiguous problems and analyzing trade-offs of different technical approaches.
- Basic Qualifications -





7+ years of total experience Bachelor's degree in Computer Science or related technical field or equivalent practical experience Strong expertise in high-level programming languages GoLang, Java etc Strong experience in architecture design, high availability, and high-performance systems. Demonstrated experience developing sophisticated backend systems. Ability to learn quickly on the go. We're looking for the candidate who thrives while learning new technologies and doesn't believe in one-size-fits-all solutions. You should be able to easily adapt to meet the needs of our massive growth and rapidly evolving business environment.
- Preferred Qualifications -


Experience in machine learning, GenAI, or LLM technologies. * Familiarity with large scale distributed systems like Kafka and cloud platforms like AWS, GCP, or Azure.