Seniority Level: Mid-Senior

Location: Long Beach, CA

About the role and about You:

You are an experienced QA Automation Engineer for our data analytics projects. As part of our QA Team, you will be responsible for ensuring automated testing of Zwift’s shared cloud services, and the data integration and connection of services into our game, web, and family of software products. Help influence and acquire the methods, practices, utilizing your SQL and ETL testing experience.

What you’ll do:

• Design, plan, write, maintain and execute automated tests scripts around data integration  - including functional, system integration, regression, with tools such as Periscope, Customer.io, Grafana and TestCafe.
• Review and document specification, collaborating with developers to build Test Cases
• Craft detailed, reproducible, and concise bug reports in Jira
• Help craft, refine, and distribute QA reports and feedback to development, product managers, customer support, and senior management
• Foster strong, communicative team spirit supporting our globally distributed development, server, backend, and web teams

What we're looking for:

• A deep understanding of the QA process, practice, with uncompromising attention to detail.  A dedication to quality as proven through past experiences with manual and automated testing frontend, API and databases
• Strong experience with Test Automation and Test Case Management (TestCafe, Postman, Swagger, Locust, JMeter, Cucumber, Selenium)
• Experience with programming languages in Java, Python and the ability to conduct SQL queries 
• Experience with establishing multi-functional, collaborative relationships with various business and technology teams and outstanding, proven written and verbal communication skills
• Agile development experience with the capability in working with kanban and structured environments
• Experience in working on projects requiring 70% Automated / 30% Manual testing 
• Previous working experience with Data Analytics testing
• Bachelor’s Degree in Computer Science or equivalent experience and Interest in crafting fun experiences around cycling, running, and overall fitness

Bonus Points 

• Experience with JavaScript
• Passion for data, cycling, running, and/or fitness industries 
• Experience with monitoring tools such as Grafana, Datadog, Splunk, or Dynatrace
• Experience working in a collaborative multi-functional team environment
  
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