About the role
Presto is our main interactive big data analytics query engine at Uber. It was originally developed at Facebook, and is currently managed in open source by the Presto Linux Foundation. It is the most popular SQL analytics engine at Uber, used by over 10K weekly active users, who run 4M+ queries per week. Presto at Uber has grown a lot in the last few years (currently 9K+ nodes, 20+ clusters) and supports several critical business use cases across Rides, Eats, Freight, Risk, etc. Multiple product platforms like uMetric, Bullseye, Enterprise-reports, Tableau, etc. also depend on Presto for interactive analytics.
As part of the Presto team, you will design, implement, optimize, and manage large scale distributed computing infrastructure that will impact multiple business use cases at Uber scale. You will also have the opportunity to collaborate with the open source community for Presto.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Learn the internals of big data infrastructure at Uber scale.
- Deep-Dive the internal of MPP Data Analytics Engine, do the optimization on the query logical/physical/execution plan, and also improve the query execution on the runtime engine including codegen, threading model, data formatting and reader, etc.
- Design and implement distributed and real-time algorithms for interactive data processing.
- Improve production cluster orchestration and service reliability and availability.
- Work with multiple partner teams within and outside of Uber and build cross-functional solutions in a collaborative work environment.
- Be actively involved in the Presto open source community by making code contributions, giving talks, and participating in community activities.
---- Basic Qualifications ----
- Bachelor’s degree in Computer Science or related field.
- 6+ years of experience building large scale distributed software systems.
- Solid understanding of Java for backend / systems software development.
---- Preferred Qualifications ----
- MS / PhD in Computer Science or related field.
- Experience managing production systems with a strong availability SLA.
- Experience working with SQL Compiler, SQL Plan / Runtime Optimization.
- Experience working with Presto, Apache Calcite / Hive / Flink, Apache Spark or similar analytics technologies.
- Experience working with Large Scale distributed system, HDFS / Yarn
For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 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. More details can be found at the following link https://jobs.uber.com/en/benefits.
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.
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.