Description
Are you interested in joining a group of highly talented engineers working on an open source project that is solving challenging problems across big data analytics, machine learning and artificial intelligence?
As a distributed systems engineer at Alluxio, you will be responsible for evolving the state-of-the-art Alluxio project. The work would involve solving challenging problems in the area of Distributed Data Services, Memory and data structure efficiency, Thread concurrency and locking optimizations, process coordination and caching policies and implementation.
The role would include developing innovative solutions for scaling systems to thousands of nodes and providing Data Durability and High Availability.
You will be part of a team that includes leaders, innovators, explorers, and risk-takers with extensive industry experience from top tech companies including Google, Palantir and VMWare and alumni from top computer science programs including CMU, Stanford and UC Berkeley.
We are looking for someone with a BS degree in Computer Science, similar technical field of study or equivalent practical experience. You should have software development experience in one or more general purpose programming languages including but not limited to: Java, C/C++, or Go.
Experience working with two or more from the following is a must: distributed and parallel systems, distributed storage systems, architecting large scale software systems, and/or security software development.
Excellent analytical and problem solving skills are required. Working proficiency and communication skills in verbal and written English are also necessary.
Preferred qualifications include a Master’s, PhD degree, further education or equivalent practical experience in engineering, computer science or other technical related field. Experience designing, developing, and deploying Kubernetes applications is also desirable.
If you are interested in contributing to an open source project and want to work in a fast-paced, collaborative and iterative programming environment, please apply.