• Software Engineering opportunities at Genospace, multiple roles

    Genospace is seeking Product Engineers who are excited at the prospect of solving novel problems. We are looking for engineers with a holistic view of product development capable of innovating across our platform. As a Product Engineer your work will impact patients at the most critical junctures in their lives, researchers seeking to make advances based on a sea of high-dimensional data, physicians deploying personalized medicine in everyday practice, and laboratories conducting some of the most advanced analyses in the world.

    As a Product Engineer you will:

    • Be an active participant in the team sprint process
    • Participate in production releases and support
    • Actively identify platform enhancements and own their implementation
    • Participant in feature design, product development, and delivery

    Our application stack typically looks like:

    • Front End – HTML5, Backbone.js, D3.js
    • Middle Tier – Java, Groovy/Grails
    • Data Tier – MongoDB, Neo4J

    You’ll be expected to contribute across all parts of the application so familiarity with the stack is a plus.

    Please see details of all current openings (different levels) at https://careers.genospace.com/opportunities 

    Posted By: Nuno Santos on Aug 9, 2018 1:11 PM
    Expires On: Oct 31, 2018 12:00 AM
  • Events
    • Java is a language in evolution. There are a handful of language changes in Java 9 and 10 plus several JDK changes in 9, 10, 11, and 12. Some of these changes are significant in that they allow us to do things more effectively than before. The difference can be anywhere from reducing code to avoiding errors that come from verbosity. In this presentation we will explore the language changes first. Then we will visit the additions to the JDK. Along the way we will also look at a few things that have been removed from Java as well.

    • You’ve probably heard of MicroProfile, but how do you go from buzz to production? In this code-heavy, interactive presentation, we’ll describe how to use OpenTracing (http://opentracing.io/) with Jaeger (https://www.jaegertracing.io/)  and annotations in MicroProfile and other Microservice architectures to reliably improve and deploy updated versions your applications to OpenShift and Kubernetes in the cloud.  Topics include best practices for performance analysis, maintaining delivery pipelines using the Linux command line, plus tips on the best free OpenTracing tools and SDKs available on GitHub.


      NOTE: This meeting is NOT on our normal "second-Thursday" schedule.