Software QA IV - Seattle WA or Cupertino CA

Must Have skills:

Nightwatch

Selenium

Python/Swift/Ruby/JavaScript

Automation Testing

Summary:

The mission of the Data Platform org is to provide our engineers and data scientists an innovative, reliable, secured, and easy-to-use infrastructure for ingesting, storing, processing, and interacting with data and ultimately help the teams that build data-intensive applications be successful. You will work with cross-functional teams and lead the planning, execution, and success of technical projects with the ultimate purpose of improving our digital assistant and search experience for customers. We are looking for a Software Tester / QA to develop validation and test solutions for the AIML Data Platform portal that is the main landing and interface for our customers.

Key Qualifications

4+ years of web testing or development

Experience with selenium, cypress, playwright, puppeteer, cucumber, nightwatch or similar website and UI testing frameworks.

Demonstrated experience creating tests that identify software bugs

Analytical skills to independently perform first-level triage on test failures

Software skills with automation languages such as Python, Swift, Ruby, or JavaScript

Detailed-oriented approach to understanding, documenting, and executing on test requirements

Ability to communicate clearly and effectively about technical topics (verbal and written)

Description

As a Software Tester / Quality Assurance Engineer in the AIML Data Platform team, you will be responsible for writing test and validation for the AIML Data Platform portal. This will include:

Work with feature teams to understand feature goals, components being modified, and interactions with the rest of the system.

Develop feature test plans to ensure the portal achieves its testing goals

Implement new tests when needed to achieve adequate coverage.

Automate end-to-end and unit-level testing.

Manage automated testing and triage test failures.

Report on testing status and follow up to ensure regressions are addressed.