Senior UI/UX Engineer - MapR M7
MapR is experiencing an explosive growth and is recognized as the premier Hadoop Distribution by delivering on the promise of an enterprise grade Big Data platform. MapR supports a broad set of mission critical and real time production uses by improving on the core Hadoop distribution.
Our M7 Enterprise Database Edition includes our ground breaking NoSQL distributed database that is easy to use, extremely reliable and the fastest NoSQL DB product out there. We are building out UI frameworks that will allow different personas like developer, administrator and analyst to develop and debug jobs, administer extremely large Hadoop clusters and explore large datasets in extremely interactive manner. We obsess over our desire to visualize Hadoop environments in new innovative ways and cut no corners in delivering what we feel is the best possible experience.
We are looking for a seasoned and extremely hands-on UI engineer who understand large systems and has a passion for simplifying the user experience. If you are looking for the opportunity to deliver an amazing, consumer-grade UI that is ultra-responsive, uses cutting-edge visualization techniques, and pushes the boundaries of the latest technology this is a position for you.
The Cool stuff you will do:
Bring simplicity to developing on and managing Hadoop and noSQL clusters with 1000s of nodes and petabytes of data.
Meet and discuss with key customers to understand different user personas and key pain points
Evaluate, recommend and rationalize the underlying technology to build the next generation MapR user interfaces.
The stuff you'll need to succeed:
Proven record for consumer grade, ultra-responsive user-experience.
Hands-on experience with modern web framework such as ExtJS, jQuery, Backbone.js, etc.
The stuff that would be nice to have:
Experience building IDEs, system management or administration products
Solid background in OOP, object modeling
BS or PhD degree in Computer Science
About MapR Technologies:
MapR Technologies provides a leading distribution for Hadoop. MapR’s Hadoop stack combines optimized versions of open source technologies including Apache HBase, Hive, Pig, and MapReduce with a powerful data management layer and enterprise reliability features to power companies’ Big Data analytical needs. Founded in 2009, MapR is well funded by leading VCs, already has substantial revenue and carries an enviable customer base that includes leading Fortune 100 companies as well as top technology companies.
MapR is an equal opportunity employer.