Software Engineer Testing - (SDET) - Risk Applications / QA

Overview

Hybrid
$160,000 - $221,000
Full Time

Skills

Apache Kafka
Data Quality
Regression Testing

Job Details

Principal, Software Engineering: Software Development Test (SDET) - Risk Applications

Strong preference is that they have capital markets industry experience. If you do not have capital markets, you need to be from a financial firm and familiar with it. The preference is that they came up through development and then got into testing. It says 7 years, but unless they came up as a strong developer, they will need 10-15 years.. Really want to see Kafka, AWS, Harness, Kubernetes, Gherkin (which is part of Cucumber), Selenium. You will be working on risk applications, so risk applications experience is a must.

SALARY: $159-$210k +30% bonus

Location: Dallas, TX 3 days on site

Strong QA automation background excellent communication skills support regression testing experience in implementing software applications test automation tools like Gherkin Cucumber Selenium API and high-volume data testing experience development of data testing python java SQL streaming and event driven IBM MQ Kafka data structure reporting dashboards security testing. 7 years plus 2 years financial or capital markets

Manage Ovation system releases, identifying impact and enhancement opportunities, and communicating appropriately. Support regression testing and introduction of required changes as new releases are introduced. Provide support for the Ovations systems including, but not limited to, research and resolution of system issues, user support, and scheduled activities.

Qualifications:

  • Strong testing and QA automation background,
  • Strong technical background. Strong customer orientation and excellent communication skills.
  • Proficiency in test automation tools like Gherkin, Cucumber, Selenium.
  • API and high-volume data testing experience.
  • Development of data testing and transformation tools
  • Programming in Python, Java, other programming languages
  • Strong data experience including SQL, databases
  • Streaming and event driven system experience.
  • Message queuing and event sourcing tools like IBM MQ, Kafka
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