Base Salary
$202k - $224k/yr
Responsibilities
- Design and implement highly scalable feature-serving components for millisecond-latency real-time machine learning applications.
- Develop streaming and online data-serving systems handling high request volumes with high availability, fault tolerance, and graceful degradation.
- Tune fast-access data stores and in-memory caches to meet strict low-latency service-level objectives.
- Partner with ML engineers, data scientists, and product teams to create generalized platform capabilities and developer-facing APIs.
- Lead technical design reviews, establish coding standards, and guide architectural decisions across the feature-serving stack.
- Mentor junior and mid-level engineers and promote technical excellence.
- Own production health, define SLIs and SLOs, build observability with metrics and distributed tracing, and participate in on-call rotations.
- Deliver 99.99%+ reliability for the feature-serving layer.
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or a related field.
- At least 5 years of professional software engineering experience building and operating large-scale backend systems in production.
- Proficiency in one or more backend programming languages such as Go, Java, C++, or Python.
- Strong understanding of distributed systems, including concurrency, consistency, data modeling, API design, and fault tolerance.
- Demonstrated experience leading the design and end-to-end delivery of complex, high-throughput, low-latency software services.
- Preferred experience with fast-access NoSQL databases, in-memory caches, and key-value stores such as Redis, Cassandra, and DynamoDB.
- Preferred experience with real-time stream processing and event-driven architectures such as Kafka and Flink.
- Preferred experience building or scaling Feature Stores such as Feast and Tecton or similar high-performance data-serving layers.
- Excellent written and verbal communication skills, including experience writing comprehensive technical design documents.
Benefits
- Eligibility for Uber's bonus program.
- Potential equity award and other types of compensation.
- Eligibility for a 401(k) plan and various benefits.
- Sunnyvale, California-based role with a stated base salary range of USD $202,000-$224,000 per year.
Tech Stack
Categories
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.