Why we do what we do:
Logikcull’s mission is to democratize discovery. The costs and risks associated with complex data projects like e-discovery, responding to FOIA requests, and conducting internal investigations are skyrocketing as the amount of data increases. Logikcull is transforming these tasks so they can be completed in minutes, by anyone, anywhere. As a result, our customers-modern legal teams from solo attorneys to massive law firms, Fortune 500 companies, and leading non-profit organizations - can find and use important information quickly so they can focus on their important work, like pursuing a better democracy or saving the Earth.
Who we are:
Logikcull.com is instant discovery for modern legal teams. Its secure, cloud-based solution helps law firms and organizations of all sizes solve the expensive, complex, and risky challenges associated with eDiscovery, internal investigations, and open records response. With Logikcull, you can start a discovery project in five seconds, from anywhere at any time on any device.
What we need:
We are looking for a strong data processing engineer who enjoys being challenged with new ways of implementing data transformations. You should be proficient in both Ruby and Java with a dose of Kotlin. You enjoy working in both, since both will be part of your day-to-day. We are looking for a team player who can have spirited debates about architecture without ego. You will need to be flexible and work in an ever-changing environment. Finally, you will thrive if you enjoy owning your projects from beginning to end. Bonus points go to you if you have some experience with highly parallel job processing, job orchestration frameworks and generally being able to handle the complexities of data duplication in map-reduce architectures.
Our current stack includes: MySQL, Redis, Java, Kotlin, Ruby, MongoDB, and Elasticsearch, all running in AWS.