Enterprise Solutions QA / Automation Engineer - Contract

| Greater NYC Area | Remote
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The EMRS team builds state-of-the-art software to support product implementation and client-facing tools that allow clients to manage their data distribution, users, applications and respective permissions. Our highly-scalable solutions offer cost effective, customizable and innovative alternatives to clients. We are solving old problems in a new way and bringing healthy competition to a well-established market. Our primary technical stack is React, NodeJS, Python / Flask. Our enterprise software makes up part of one of the fastest growing areas of the company (Enterprise Technology - Real-time), and we work directly with clients on the cutting edge of financial technology.

As part of the team, we'll trust you to:

  •  Enhance our CI/CD pipeline to speed up the delivery of applications with a high degree of confidence
  •  Implement test automation to ensure the quality of our applications
  •  Partner with developers to create seamless local development workflows
  •  Collect and report data relating to site reliability, performance, and code coverage
  •  Work across multiple teams in Engineering
  •  Communicate and interact with product managers and end users

You'll need to have:

  •  3+ years of testing successful web applications and APIs
  •  3+ years of experience testing APIs and Web Applications
  •  3+ years of with testing frameworks (Selenium, TestCafe, Enzyme, Jest, PyTest)
  •  3+ years of with Performance and Load Testing
  •  3+ years of with Python or JavaScript
  •  3+ years of with Agile Software Development
  •  Familiarity with CI/CD (Jenkins, Docker, Chef)
  •  Ability to learn on the fly and the desire to share ideas and be a team player
  •  Strong verbal and written communication skills

We'd love to see:

  •  Familiarity with React
  •  Experience with NodeJS
  •  Familiarity with RESTful API design and communication with back end services
  •  Familiarity with GIT source control
  •  An under- or post-graduate degree in Computer Science, Engineering, Finance or a related field (or equivalent expertise)
  •  Familiarity with C/C++ or Python, relational databases (Oracle, SQL Server, PostgreSQL), Shell scripting, data structures, algorithms and optimizations

 

 

 

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