QA Engineer

BLR•Dallas, TX

1d•Onsite

About The Position

The QA Engineer is responsible for driving product quality through the development and maintenance of automated testing frameworks and data quality monitoring tools. This role ensures consistent, reliable software releases and long-term scalability by validating functionality and integrity of applications, marketing sites, admin tools and data workflows against high standards.

Requirements

Strong attention to detail with the ability to identify edge cases and hidden defects
Excellent written and verbal communication skills
Comfortable working in a fast-paced, evolving SaaS environment
Ability to manage multiple releases and testing priorities simultaneously
Proactive problem solver who anticipates quality risks before they escalate
Experience building and maintaining automated test frameworks (e.g., Cypress, Playwright, Selenium, or similar)
Experience testing APIs and backend systems
Familiarity with CI/CD pipelines and integrating automated tests into deployment workflows
Ability to work in our Dallas, TX office full-time
Bachelor’s degree in Computer Science, Engineering, or related field
3–5 years of experience in QA Engineering, software testing, or similar role
All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.

Nice To Haves

Experience with data validation or data quality testing strongly preferred
Experience in SaaS or data-driven platforms preferred

Responsibilities

Manage QA and Testing Lifecycle
Own end-to-end QA process for feature releases, bug fixes, and quarterly product deployments
Develop and execute comprehensive test plans, test cases, and regression testing protocols
Partner closely with Product and Data teams to clarify requirements and ensure testability
Identify, document, and track defects through resolution
Implement and Maintain Automated Testing
Design, implement, and maintain automated test frameworks for the app site, marketing site, admin tools, and API endpoints/backend workflows
Build automated regression suites to reduce reliance on manual testing
Continuously improve test coverage and test efficiency
Data Quality and Insight Testing
Develop tools and automated checks to monitor data accuracy and integrity
Create testing workflows for product releases to validate calculations, logic, and data outputs
Partner with Data team to reduce data-related bugs and inconsistencies
Continuous Improvement
Recommend QA process improvements to increase release speed and reliability
Help define quality standards and release criteria
Establish metrics and reporting to measure defect rates, test coverage, and release readiness
Support documentation of QA processes and standards
Assist in evaluating and implementing new QA tools or technologies
Additional Responsibilities: Additional Responsibilities as assigned