What are the responsibilities and job description for the Sr QA Engineer (manual/automation, AI / Augmented) position at Motion Recruitment Partners, LLC?
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
Required Qualifications
Preferred Qualifications
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.
Salary : $55 - $65