- Experience identifying and reducing code-level technical debt in high-load distributed systems.
- Understanding of distributed systems and architecture.
- Proficiency with Big Data frameworks (e.g., Spark, Flink) or real-time data streaming (e.g., Kafka).
- Demonstrated ability to exercise sound judgment on engineering trade-offs for complex features.
- Adept at communicating and collaborating effectively with others, promoting your ideas as well as being humble when you may be wrong.
- Machine learning hands on experience is preferred, however deep ML knowledge is not required
### Responsibilities
For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.