Sr. Software Engineer - Backend

About the role:

The Senior Software Engineer partners with stakeholders and leads team efforts to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.

About the team:

The Targeting Platform is responsible for building segmentation and targeting capabilities that are being leveraged to power personalized experiences across Uber's products and services. The platform is managing over 2B user profiles enriched with hundreds of attributes supporting 400K+ segments today. It processes billions of updates per day through batch jobs, materializes segments that can go up to several 100 million, and serves evaluations with high throughput low latency guarantees for business-critical applications. The team is working on building the next-generation targeting capabilities to keep up with Uber's dynamic business needs. If you are passionate about designing and building extremely reliable, highly scalable, and performant services, this is the right group for you.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• Designing and implementing backend services and features with high scalability and reliability
• Building key components of a large-scale platform for real-time event processing and batch job processing
• Join on call rotation, driving continuous improvements on system availability, scalability, performance and efficiency.
• Collaborate with other engineering teams, product managers and stakeholders to drive adoption and standardize processes, and to lead the design and implementation of high impact, cross-product features.

---- Basic Qualifications ----

• 5+ year of experience in developing backend services
• Bachelors Degree (or above) in Comp Science or related field
• Strong architectural skills: Knowledge of data structures and a keen eye for architecture. Ability to discuss trade-offs between architectural choices both theoretically and practically.
• Must be proficient in Java or Go and able to pick up new languages quickly
• Experience with developing complex software systems scaling to millions of users with production quality deployment, monitoring, and reliability.

---- Preferred Qualifications ----

• Experience with developing high throughput, low latency services using Kakfa, Redis, Cassandra, Pinot, SpringBoot
• Experience with building and maintaining large scale and/or real-time complex data processing pipelines using Spark, Flink, Hadoop, Hive, Storm, etc.
• Experience building segmentation and targeting platform is a plus

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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 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.