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Lead Test Automation Engineer

software testing company

Our client is a US software testing company that provides services to many industries, including financial services, insurance, banking, software development, and others.

They're looking for a Lead Test Automation Engineer to join their team.



  • Bachelor degree in Computer Science, Mathematics, or similar (or equivalent experience)
  • A proven track record of leading, designing, delivery, and ongoing maintenance of greenfield internal application and/or framework development 
  • Experience developing complex test automation software, scripts and/or automation frameworks and a proven track record of contributing to and maintaining high quality standards 
  • Ability to create and design test automation, enablement platforms/tools and test automation infrastructure capable of scaling 
  • 5+ years in a software Development, Software Development Engineer in Test (SDET) or Automation Engineer capacity ideal 
  • Ability to leverage some of the following languages, tools, and technologies: C#, Java, JavaScript/Angular, Python, Protractor, Cypress, Selenium, Postman, Newman, Jenkins, Docker,Terraform.
  • Proven ability to write automated test scripts to verify data structures, data formats, and data values 
  • Demonstrated ability to create and execute SQL queries - DevOps mindset with an understanding of CI/CD practices and tooling 
  • Proven ability to maintain code repositories with Git/GitLab or similar 
  • Exposure to public cloud platforms such as Azure and/or Amazon Web Services (AWS) strongly preferred 
  • Experience with some of the following nice-to-have: Appium, Snowflake, AppDynamics, JMeter, Blazemeter 
  • Experience in a SaaS, B2B, software or product-centric business preferred 



  • Work with an experienced team leveraging Agile techniques to deliver highquality releases 
  • Design and Implement tools and techniques supporting robust automation for web applications and utilize automation for deployment and running test suites 
  • Design and implement software for quality assurance of Machine Learning data sets and models 
  • Collaborate with Data Scientists to understand data and machine learning model 
  • Apply statistical concepts to validate and QA data sets and models 
  • Monitor automation processes and follow up on results/defects 
  • Write and/or modify SQL queries to perform database validations 
  • Partner with DevOps and other teams to mature our Continuous Integration (CI) pipelines 
  • Create test plans, test data, test cases, and automated scripts to ensure quality for web and client server applications 
  • Produce documentation for automated frameworks and cross-train others


Location: Remote

Time shift: Full time


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