Remote Java Software Engineer Cloud Technologies at Liquid Analytics 📈 Open Startup
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Liquid Analytics


Java Software Engineer Cloud Technologies

Java Software Engineer Cloud Technologies


Liquid Analytics


dev

java

cloud

engineer

dev

java

cloud

engineer

3yr

Stats (beta): 👁 611 views,✍️ 0 applied (0%)
\nAt Liquid Analytics we use machine intelligence to enhance the user experience.\n\nAs a Sr. Java Software Developer you will be managing, extending and enhancing our premier Liquid Platform in AWS.\n\nYou are not just your average enterprise Java developer building applications on J2EE. You are building next generation cloud applications in AWS today.\n\nYour most important design driver is 'Performance'. You know how to model and build low latency asynchronous cloud applications. You know how to setup, manage a highly scalable Docker environment. You have solid Linux and networking to troubleshoot concurrency and latency issues with your asynchronous micro-services.\n\nYou have proven experience with various database models. You can structure, manage and query complex SQL databases. We use PostgresSQL RDS in AWS.\n\nYou have proven skills working with Columnar Databases like Amazon Dynamo or Cassandra.\n\nYou have worked with various JSON Document databases just as Google Firebase or MongoDB.\n\nYou know how to build and manage HTTPS REST APIs. We use the OpenAPIs.org specification, formerly know as Swagger.\n\nYou have working experience using Websockets to build highly responsive applications. One of the differentiations with the Liquid Platform is our highly scalable low latency sync engine that allows our clients to work online or offline with the lowest impact to battery life.\n\nYou have a minimum of 5 years of Java development skills, most of them building cloud applications in AWS.\n\nYou have an under-graduate degree in Computer Science. You have a solid math background are capable of adapting the right algorithm and data structure to most problems. For example you would know how to use a Linear Regression algorithm to analyze sales history information to create a highly optimized Goal Distribution process that runs in its own optimized in-memory data structure.\n\nJava is not your only language you are equally comfortable in Javascript and Python.\n\nIf you are a seasoned Java Developer building AWS cloud applications today then you already know all the required toolsets you need to succeed. You already stay up-to-date with the latest in Java and AWS. \nWe use Python for scripts. \nWe use Javascript to write most of our light-weight micro-services in Node.js containers. \nWe use the Webstorm IDE for Javascript development. \nWe use the Eclipse IDE for Java development. \nWe use GitHub for our code management. \nWe use Jenkins for automation.\n\nJoin the Liquid Analytics team and work on the next generation 'Experience Platform', Liquid Platform.

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