About the Role
Are you passionate about creating platforms for earners around the world to thrive?
Uber's Earner Progression team leads our investments in earner quality, retention, and loyalty. Each of our earners defines success on Uber differently, and we're building a platform that enables earners to improve their potential & goals through a more personalized approach! We build with a heart for each Earner to drive career progression, long-term retention, and a positive Uber relationship. This role will require a compassionate understanding of earner needs, an economic perspective, and an analytical approach to understanding marketplace & pricing dynamics!
What the Candidate Will Do ----
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- Lead the design, development, and deployment of scalable and reliable backend systems for Earner Experience team
- Work closely with cross-functional teams including data scientists, product managers, and other engineering teams to deliver end-to-end solutions.
- Develop and enhance our platform infrastructure to support advanced analytics and experimentation capabilities.
- Implement robust developer and testing infrastructure to streamline development workflows and ensure high-quality code.
- Drive continuous improvement in system architecture and operational excellence, with a focus on performance, scalability, and maintainability.
- Stay current with the latest technologies and industry trends, evaluating and integrating new tools and methodologies as appropriate.
- Mentor and provide technical guidance to junior engineers, fostering a culture of innovation and excellence within the team.
---- Basic Qualifications ----
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience
- Proficiency in one or more programming languages such as Java, C++, Python, or Go.
- Strong experience with distributed systems and microservices architecture
- Experience with data analytics and experimental design in an engineering context
---- Preferred Qualifications ----
- 8+ years of experience in hands-on software development with the thoughtfulness of scale, latency, and distributed architecture.
- Experience building and integrating Machine Learning features
- Experience with stream processing technologies like Flink
- Strong background in data analytics tools such as Hive, or similar.
- Familiarity with CI/CD pipelines and testing frameworks.
- Demonstrated leadership skills, with experience in mentoring and guiding junior engineers.
- Proven experience of shipping high-quality product features on schedule and with high velocity.
- Proven track record in designing and implementing large-scale, high-performance systems.
For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action 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.