Lead Test Automation Engineer

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.

Requirements:

• 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 

Responsibilities:

• 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