This is a remote position.
Senior Quality Engineer
Reporting to Manager Quality Engineering & AI Validation partners directly with delivery pods to validate software features workflows integrations and releases. Executes and automates test coverage across traditional applications and AI-enabled solutions with a focus on business-critical workflow quality and evidence-based release readiness.
Key Responsibilities
Validation Execution
Design and execute functional integration regression API and end-to-end workflow tests.
Build and maintain automated test cases where they create leverage and repeatability.
Validate system behavior across application boundaries services and business processes.
Release Readiness
Partner with Product and Engineering to clarify acceptance criteria risk and expected behavior.
Provide quality assessments grounded in evidence defect trends and scenario coverage.
Support pre-release validation and post-release quality review.
AI Workflow Testing
Execute test scenarios against AI-enabled features including edge cases missing context ambiguous requests and workflow handoffs.
Validate outputs against expected business behavior traceability requirements and quality standards.
Continuous Improvement
Identify recurring defects weak spots in requirements and opportunities to improve test coverage.
Contribute reusable test assets documentation and scenario libraries.
Requirements
Required Qualifications
5 years of software testing or quality engineering experience.
Experience with manual and automated testing in modern application environments.
Strong comfort with APIs integration testing and complex workflow validation.
Familiarity with logs defect triage and data validation.
Ability to work closely with engineers product managers and business stakeholders.
Experience with finance workflow or data-centric products preferred.
Bachelors degree preferred.
You Are
Methodical curious and accountable.
Good at finding edge cases and translating risk into action.
Focused on protecting quality without becoming rigid.
Strong at balancing technical detail with business impact.
Benefits
Salary plus performance-based bonus.
Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate including but not limited to skill set years and depth of experience education certifications cost of labor and internal equity.
Required Skills:
5 years of experience in Quality Engineering QA or Software Testing Hands-on experience with test automation tools (e.g. Selenium Cypress Playwright or similar) Strong experience with API testing (e.g. Postman REST Assured or similar tools) Experience validating data pipelines ETL/ELT processes and data transformations Proficiency in SQL and data validation techniques Experience working in cloud environments (AWS and/or Azure) Familiarity with CI/CD tools (e.g. Jenkins GitHub Actions Azure DevOps) Basic programming or scripting experience (e.g. Python Java or JavaScript)
This is a remote position. Senior Quality Engineer Reporting to Manager Quality Engineering & AI Validation partners directly with delivery pods to validate software features workflows integrations and releases. Executes and automates test coverage across traditional applications and AI-enabl...
This is a remote position.
Senior Quality Engineer
Reporting to Manager Quality Engineering & AI Validation partners directly with delivery pods to validate software features workflows integrations and releases. Executes and automates test coverage across traditional applications and AI-enabled solutions with a focus on business-critical workflow quality and evidence-based release readiness.
Key Responsibilities
Validation Execution
Design and execute functional integration regression API and end-to-end workflow tests.
Build and maintain automated test cases where they create leverage and repeatability.
Validate system behavior across application boundaries services and business processes.
Release Readiness
Partner with Product and Engineering to clarify acceptance criteria risk and expected behavior.
Provide quality assessments grounded in evidence defect trends and scenario coverage.
Support pre-release validation and post-release quality review.
AI Workflow Testing
Execute test scenarios against AI-enabled features including edge cases missing context ambiguous requests and workflow handoffs.
Validate outputs against expected business behavior traceability requirements and quality standards.
Continuous Improvement
Identify recurring defects weak spots in requirements and opportunities to improve test coverage.
Contribute reusable test assets documentation and scenario libraries.
Requirements
Required Qualifications
5 years of software testing or quality engineering experience.
Experience with manual and automated testing in modern application environments.
Strong comfort with APIs integration testing and complex workflow validation.
Familiarity with logs defect triage and data validation.
Ability to work closely with engineers product managers and business stakeholders.
Experience with finance workflow or data-centric products preferred.
Bachelors degree preferred.
You Are
Methodical curious and accountable.
Good at finding edge cases and translating risk into action.
Focused on protecting quality without becoming rigid.
Strong at balancing technical detail with business impact.
Benefits
Salary plus performance-based bonus.
Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate including but not limited to skill set years and depth of experience education certifications cost of labor and internal equity.
Required Skills:
5 years of experience in Quality Engineering QA or Software Testing Hands-on experience with test automation tools (e.g. Selenium Cypress Playwright or similar) Strong experience with API testing (e.g. Postman REST Assured or similar tools) Experience validating data pipelines ETL/ELT processes and data transformations Proficiency in SQL and data validation techniques Experience working in cloud environments (AWS and/or Azure) Familiarity with CI/CD tools (e.g. Jenkins GitHub Actions Azure DevOps) Basic programming or scripting experience (e.g. Python Java or JavaScript)