Overview
On Site
USD 223,000.00 - 248,000.00 per year
Full Time
Skills
Onboarding
Reporting
GR
Continuous Improvement
Payments
IT Strategy
Computer Science
Mathematics
C
C++
Java
Python
Software Engineering
Training
Research
Job Details
About the Role
Join our dynamic team responsible for Shopper Payments, Onboarding Experience, and Merchant Reporting for our growing GR business. You'll contribute to enhancing shopper checkout experiences, building foundational payment infrastructure, and driving engineering excellence. We foster a culture of continuous improvement, learning from incidents to build more resilient systems. Be part of shaping the future of shopper payments in a fast-paced and impactful environment.
What the Candidate Will Do ----
1. Influence the larger org-wide technical strategy through contributions on design and incident reviews.
2. Hands-on coding while leading a small team of engineers as a tech lead to execute on complex projects.
\\-\\-\\-\\- Basic Qualifications ----
1. PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:
2. Programming language (e.g. C, C++, Java, Python, or Go)
3. Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.
\\-\\-\\-\\- Preferred Qualifications ----
Deep knowledge and work experience on distributed systems, system reliability, and scaling complex systems.
For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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 [](;br>
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](;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.
Join our dynamic team responsible for Shopper Payments, Onboarding Experience, and Merchant Reporting for our growing GR business. You'll contribute to enhancing shopper checkout experiences, building foundational payment infrastructure, and driving engineering excellence. We foster a culture of continuous improvement, learning from incidents to build more resilient systems. Be part of shaping the future of shopper payments in a fast-paced and impactful environment.
What the Candidate Will Do ----
1. Influence the larger org-wide technical strategy through contributions on design and incident reviews.
2. Hands-on coding while leading a small team of engineers as a tech lead to execute on complex projects.
\\-\\-\\-\\- Basic Qualifications ----
1. PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:
2. Programming language (e.g. C, C++, Java, Python, or Go)
3. Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.
\\-\\-\\-\\- Preferred Qualifications ----
Deep knowledge and work experience on distributed systems, system reliability, and scaling complex systems.
For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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 [](;br>
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](;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.