QA Lead- Dallas TX

QA Lead

As a part of Product Engineering Services practice, we are looking for QA Lead to join us to contribute to practice initiatives and keep current in the latest technology developments in the Cloud and Product Engineering space. The role includes:

• Develop and implement test plans, test strategies, and test cases for projects.
• Define the scope, objectives, and deliverables for the testing phase.
• Establish test entry and exit criteria.
• Assign tasks to team members based on their skill sets and project needs.
• Coordinate and manage the execution of test cases.
• Ensure both manual and automated tests are conducted efficiently.
• Monitor and report progress, ensuring adherence to timelines.
• Oversee defect tracking and resolution processes.
• Work with developers and other stakeholders to prioritize and resolve issues.
• Ensure accurate documentation of defects and their resolutions.
• Participate in Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives).
• Track and report QA metrics such as defect density, test coverage, and test execution progress.
• Provide regular updates on the quality status to stakeholders.
• Identify and mitigate risks related to quality.
• Escalate risks and quality issues to stakeholders when necessary.
• Develop contingency plans for high-risk areas.

What you'll bring:

• QA Methodologies:
• Proficiency in manual and automated testing methodologies.
• Understanding of different testing types (e.g., functional, regression, performance, security, usability).
• Tools and Platforms:
• Expertise in test management tools like Test Rail, Zephyr, or JIRA.
• Familiarity with automation tools like Selenium, Appium, Cypress, or Playwright.
• Experience with performance testing tools such as JMeter or Load Runner.
• Programming Knowledge:
• Ability to write and debug scripts in languages like Python, Java, or C# for automation.
• CI/CD Knowledge:
• Familiarity with CI/CD tools such as Jenkins, Git Lab, or Azure Dev Ops.
• Understanding of how QA integrates with Dev Ops pipelines.
• Database
  
  Skills:
• Ability to write SQL queries for data validation during testing.
• Cloud and Virtualization:
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud for testing environments.
• Familiarity with containerization tools like Docker and Kubernetes.