Skip to content

This website uses cookies to provide features and services. By using the site you agree to the use of cookies.Cookie policy.  Close

Seattle, WA Full Time Posted by: Uber Posted: Wednesday, 15 September 2021

About the Role

The data analytics storage & compute team is part of the Data Infrastructure team and is responsible for building Uber Data Lake's underlying storage and resource management infrastructure (with Apache HDFS, YARN), for the rest of the company. We're running more than 20,000+ nodes clusters to serve exabyte storage and schedule compute resources for 500k+ data process applications daily.

What the Candidate Will Do ----

Design systems architecture and deliver software and tools to advance the reliability of infrastructure including availability, performance, efficiency and scaling.

Provide technical leadership, influence and partner with fellow engineers to architect, design and build infrastructure that can stand the test of scale and availability, while reducing operational overhead.

Drive efficiencies in systems and processes through automation: capacity planning, configuration management, performance tuning, monitoring and root cause analysis.

Participate in periodic on-call rotations and be available for escalations.

Collaborate with platform, product and security engineering teams, and enable successful use of infrastructure and foundational services, and manage upstream and downstream dependencies

---- Basic Qualifications ----

BS or MS in Computer Science or a related technical discipline, or equivalent experience

4+ years of industry experience

Highly proficient in one of the following programming languages: Java, Go, C/C++. Good Scripting skills and ability to pick up new ones.

Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.

A love for coding, debugging and attacking hard problems.

Good working knowledge of networking and RPC stack (TCP/IP, HTTP, Thrift).

Grit, drive and a strong sense of ownership coupled with a penchant for collaboration

---- Preferred Qualifications ----

Under the HOOD experience with Apache Hadoop HDFS, YARN or similar systems such as Apache HBase etc. is a strong plus

Experience with highly available/fault tolerant, replicated data storage systems, large scale data processing systems or enterprise/cloud storage systems is also a strong plus

3+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals.

Seattle, WA, United States of America
Click apply
9/15/2021 2:19:38 PM

We strongly recommend that you should never provide your bank account details to an advertiser during the job application process. Should you receive a request of this nature please contact support giving the advertiser's name and job reference.