Sr QA Engineer (manual/automation, AI / Augmented)
Motion Recruitment
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Atlanta, GA
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Mid-Senior level
Posted March 27, 2026
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Responsibilities
Commitments
Responsibilities
- Design and execute manual and automated testing strategies for database-driven applications and data pipelines.
- Develop and maintain test cases and automation scripts for Oracle PL/SQL data structures and pipelines.
- Validate data transformations, integrations, and database logic to ensure accuracy, consistency, and reliability.
- Utilize AI-assisted tools (e.g., Copilot, Claude Code, or similar) to accelerate test creation, debugging, and test maintenance.
- Integrate automated testing into CI/CD pipelines to support continuous integration and rapid development cycles.
- Perform root cause analysis and debugging for defects within database, pipeline, and integration layers.
- Collaborate closely with software engineers and data engineers to ensure quality throughout the development lifecycle.
- Support regression testing, integration testing, and system validation for complex data workflows.
- Contribute to improving QA processes, automation coverage, and testing efficiency.
Commitments
Location: 100% Remote
Employment Type: Contract-to-Perm (conversion after approximately 6 months)
Not Met Priorities
What still needs stronger evidence
Requirements
- Strong experience as a QA Engineer performing both manual testing and test automation.
- Hands-on experience testing Oracle databases and PL/SQL logic.
- Experience validating data pipelines, integrations, and database-driven applications.
- Experience building or maintaining automated test frameworks.
- Familiarity with CI/CD environments and automated test integration.
- Strong troubleshooting and debugging skills in data-heavy environments.
- Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar tools.
Preferred Skills
- Experience testing enterprise data platforms or analytics environments.
- Exposure to API and integration testing.
- Experience working with data engineering pipelines or ETL processes.
- Background working in environments adopting AI-assisted development practices.
- Posted By: Maya Russo
Senior QA Engineer (Manual / Automation, AI-Augmented)
Location: 100% Remote
Employment Type: Contract-to-Perm (conversion after approximately 6 months)
Industry: Healthcare
Our client in the healthcare industry is seeking a Senior QA Engineer with strong experience in both manual testing and test automation, along with the ability to leverage AI-assisted development tools to accelerate quality engineering workflows.
This is a highly hands-on role focused on ensuring the quality and reliability of database-driven systems, data pipelines, and integrations, with a particular emphasis on Oracle PL/SQL environments. The ideal candidate will be comfortable working directly with data structures, database logic, and integration pipelines, while utilizing modern AI-enabled tools such as Copilot, Claude Code, or similar platforms to rapidly develop and maintain test coverage and debugging workflows.
This position requires someone who can operate effectively in a fast-paced engineering environment, collaborate closely with development teams, and contribute to both manual validation and automated test coverage.
Key Responsibilities
Design and execute manual and automated testing strategies for database-driven applications and data pipelines.
Develop and maintain test cases and automation scripts for Oracle PL/SQL data structures and pipelines.
Validate data transformations, integrations, and database logic to ensure accuracy, consistency, and reliability.
Utilize AI-assisted tools (e.g., Copilot, Claude Code, or similar) to accelerate test creation, debugging, and test maintenance.
Integrate automated testing into CI/CD pipelines to support continuous integration and rapid development cycles.
Perform root cause analysis and debugging for defects within database, pipeline, and integration layers.
Collaborate closely with software engineers and data engineers to ensure quality throughout the development lifecycle.
Support regression testing, integration testing, and system validation for complex data workflows.
Contribute to improving QA processes, automation coverage, and testing efficiency.
Required Qualifications
Strong experience as a QA Engineer performing both manual testing and test automation.
Hands-on experience testing Oracle databases and PL/SQL logic.
Experience validating data pipelines, integrations, and database-driven applications.
Experience building or maintaining automated test frameworks.
Familiarity with CI/CD environments and automated test integration.
Strong troubleshooting and debugging skills in data-heavy environments.
Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar tools.
Preferred Qualifications
Experience testing enterprise data platforms or analytics environments.
Exposure to API and integration testing.
Experience working with data engineering pipelines or ETL processes.
Background working in environments adopting AI-assisted development practices.
Posted By: Maya Russo
Location: 100% Remote
Employment Type: Contract-to-Perm (conversion after approximately 6 months)
Industry: Healthcare
Our client in the healthcare industry is seeking a Senior QA Engineer with strong experience in both manual testing and test automation, along with the ability to leverage AI-assisted development tools to accelerate quality engineering workflows.
This is a highly hands-on role focused on ensuring the quality and reliability of database-driven systems, data pipelines, and integrations, with a particular emphasis on Oracle PL/SQL environments. The ideal candidate will be comfortable working directly with data structures, database logic, and integration pipelines, while utilizing modern AI-enabled tools such as Copilot, Claude Code, or similar platforms to rapidly develop and maintain test coverage and debugging workflows.
This position requires someone who can operate effectively in a fast-paced engineering environment, collaborate closely with development teams, and contribute to both manual validation and automated test coverage.
Key Responsibilities
Design and execute manual and automated testing strategies for database-driven applications and data pipelines.
Develop and maintain test cases and automation scripts for Oracle PL/SQL data structures and pipelines.
Validate data transformations, integrations, and database logic to ensure accuracy, consistency, and reliability.
Utilize AI-assisted tools (e.g., Copilot, Claude Code, or similar) to accelerate test creation, debugging, and test maintenance.
Integrate automated testing into CI/CD pipelines to support continuous integration and rapid development cycles.
Perform root cause analysis and debugging for defects within database, pipeline, and integration layers.
Collaborate closely with software engineers and data engineers to ensure quality throughout the development lifecycle.
Support regression testing, integration testing, and system validation for complex data workflows.
Contribute to improving QA processes, automation coverage, and testing efficiency.
Required Qualifications
Strong experience as a QA Engineer performing both manual testing and test automation.
Hands-on experience testing Oracle databases and PL/SQL logic.
Experience validating data pipelines, integrations, and database-driven applications.
Experience building or maintaining automated test frameworks.
Familiarity with CI/CD environments and automated test integration.
Strong troubleshooting and debugging skills in data-heavy environments.
Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar tools.
Preferred Qualifications
Experience testing enterprise data platforms or analytics environments.
Exposure to API and integration testing.
Experience working with data engineering pipelines or ETL processes.
Background working in environments adopting AI-assisted development practices.
Posted By: Maya Russo