esponsibilities for the QE Sr Automation Architect
- Design enterprise capable automation frameworks
- Review current automation frameworks and prepare a list of improvements and upgrades
- Design a new API automation framework
- Track and build plans for the automation teams on how/when to implement automation improvements
- Where no automation exists, build a plan for creating an automation strategy
- Train automation team on coding and development best practices
- Design an automation framework for back-end automation using database queries, scripts, and tools outside of the application UI
- Build a future state automation framework within AWS
- Build and maintain an enterprise level test data management strategy and framework
- Focus on ‘lessons learned’ for continuous process improvement
- Design and implement a performance testing strategy
- Integrate all frameworks into Sonarqube for code quality analysis
Qualifications of the QE Sr Automation Architect
- Master’s Degree in computer related field or equal work experience
- 6 years of developing, maintaining and ensuring quality of a web application using a variety of automated testing tools. 8 years of this experience is preferred
- Working level knowledge of Python, Java, and .Net
Knowledge, Skills, and Abilities of the QE Sr Automation Architect
- Experience using and building test automation tools for functional, load and performance testing
- Experience developing automated tests in an environment such as Selenium, using an Object-Oriented approach for web-based applications
- Experience with Software as a Service (SaaS) web-application environments
- Solid knowledge of writing and executing SQL queries to use in database testing
- Hands-on experience with testing large scale web sites and web services
- Familiar with Unit Testing and how it integrates into the overall automation strategy
- Experience with Continuous Integration and Continuous Delivery (CI/CD) pipelines
- Experience in the QA lifecycle as evidenced by ability to articulate the QA process as well as tangible outputs like test plans, test scripts, bug reports, etc.
- Excellent communication, organizational, problem solving, risk analysis, and decision-making skills
- Ability to clearly explain findings effectively with strong technical writing skills
- Be a proactive individual that exhibit initiative within a scrum team environment
- Expert level knowledge integrating automation frameworks in CI/CD pipelines
- Working level knowledge of AWS with the ability to build infrastructure used for automation and performance testing
- Masterful knowledge of coding best practices
- Ability to create a layered strategy that takes into account all levels of testing
- Ability to design an automation strategy based around the test pyramid
- Knowledge of containers and how to build an automation infrastructure leveraging Docker or other container solutions
- Knowledge of AI tools and capabilities that could enhance testing approaches and automation frameworks
- Knowledge of performance testing tools
- Working level knowledge of Sonarqube
- Strong knowledge of security testing and how to integrate security testing into automation