About the Role (Not an intern position)
Earner Incentives is one of the fastest-growing products at Uber. As an Engineer on the Earner Incentives team you will work on the latest backend technologies developing highly scalable, Customer facing services and features, platforms and control panel tooling used by our operations on a daily basis.
Incentives Platform is used for generating efficient incentives for drivers, measuring progress of drivers towards achieving those incentives and then paying once incentive goals are achieved. It plays a critical role in ensuring adequate supply to meet the market demands across time and space. The combination of technical challenges and cross functional work will allow you to grow as a software engineer in any dimension.
Join us to work on some of the most exciting challenges on this journey.
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber's infrastructure across a variety of sophisticated workflows and business processes.
2. Design end-to-end features and systems to build high quality consumer-facing products.
3. Write code, test, and maintain production services for high availability, reliability, and performance.
4. Work with ML engineers and scientists to develop ML models to improve product performance.
5. Work with Product Managers to understand product requirements and lead product rollout plans.
6. Mentor junior team members.
7. You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient.
\\-\\-\\-\\- Basic Qualifications ----
1. 2+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor.
2. Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C)
3. Fast and passionate learner. Strong collaboration, documentation and communication skills.
\\-\\-\\-\\- Preferred Qualifications ----
1. Experience building consumer-facing products.
2. Experience designing and implementing large-scale service with excellent quality.
3. Experience working with Machine Learning engineers and scientists on ML model productionization.
4. Experience collaborating with other engineers and non-tech stakeholders, both to meet short-term goals and to create long-term partnerships.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 [](;br>
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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90958168
- Position Id: 3231f7db0f94c3a4ce93cc053a6142b9
- Posted 2 hours ago
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