Job Description

At Uber, we reimagine the way the world moves for the better. The idea 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 moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let\'s move the world forward, together.

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.

Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, and depending on the workplace location, Uber either requires* or recommends employees be vaccinated to access any of our facilities; this is subject to change solely at the Company\'s discretion.

The Data Storage & Compute team is part of the Data Infrastructure team which is based in Bangalore 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.

We have a small tightly knit team with a diverse set of backgrounds from companies such as Facebook, Google, Cloudera, Amazon, Microsoft, LinkedIn, Twitter, Pinterest, Dropbox, other startups and college grads from the top schools. The team is proud to be a part of the open source community in innovating and shaping such exciting technologies as we move forward. Uber, as a business, is also growing rapidly, and Data at Uber is at the heart of almost all products e.g. Pricing predictions, Uber Pool route optimizations, Uber Eats restaurant recommendations, fraud detection, storage and processing of data collected from Autonomous vehicles etc.

By solving these business problems you will not only be helping Uber but also have a front row seat to build and innovate the future Big Data systems and contribute them back to open source. This is an exciting time to be part of the Data team at Uber. Be sure to check out our engineering blog to learn more about the team.

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 ---

Bachelor\'s degree (or higher) in Computer Science or related field.

6+ years experience building large scale distributed software systems.

Solid understanding of Java for backend / systems software development.

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

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

Worked on Big Data solutions like Hadoop / Kafka systems.

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

At Uber, we reimagine the way the world moves for the better. The idea 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 moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let\'s move the world forward, together.

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.

Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, and depending on the workplace location, Uber either requires* or recommends employees be vaccinated to access any of our facilities; this is subject to change solely at the Company\'s discretion.

\\* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .

Uber