Senior Quality Engineering / Agentic AI Lead

One of our clients is seeking a highly experienced Senior Quality Engineering / Agentic AI Lead with 12 years of QA/QE experience and strong hands-on expertise in modern test automation, data migration testing, AI-driven quality engineering, and enterprise application testing.
This is NOT a Test Manager or purely managerial role. Hands-on technical experience is mandatory. The ideal candidate must be able to write and debug automation code, work within existing automation frameworks, design AI-powered testing solutions, and provide technical leadership while working directly with client and engineering stakeholders.
The candidate will leverage Agentic AI and AI-assisted development tools to accelerate test automation, test generation, defect analysis, impact analysis, and overall quality engineering practices.
Key Responsibilities

• Lead and contribute hands-on to Quality Engineering and test automation initiatives across complex enterprise applications.
• Design and implement Agentic AI solutions for Quality Engineering, including AI agents that support test case generation, automated testing, defect triage, root-cause analysis, impact analysis, and regression optimization.
• Leverage AI-assisted development tools such as GitHub Copilot, Claude Code, Kiro, Cursor, or similar technologies.
• Develop and maintain robust, scalable automation using Playwright.
• Work hands-on with existing automation frameworks, troubleshoot failures, debug code, and enhance framework capabilities.
• Design and execute data migration testing involving SQL Server and PostgreSQL.
• Perform source-to-target reconciliation, ETL validation, data quality testing, and schema mapping validation.
• Develop complex SQL queries for data validation, reconciliation, and test analysis.
• Perform functional, integration, regression, API, and end-to-end testing across enterprise applications.
• Test applications built using .NET/.NET Core and Angular, including associated APIs and integrations.
• Develop and maintain automated tests as part of Azure DevOps CI/CD pipelines.
• Collaborate closely with developers, architects, product owners, business stakeholders, and client leadership.
• Provide client-facing technical leadership and communicate QE strategy, risks, findings, and recommendations.
• Mentor other QE engineers while remaining actively involved in hands-on development and troubleshooting.

Required Technical Skills
Agentic AI / AI-Assisted Quality Engineering

• Hands-on experience applying Agentic AI to Quality Engineering or Software Testing.
• Experience using AI agents for test automation, test generation, defect triage, impact analysis, regression optimization, or test analysis.
• Experience with GitHub Copilot, Claude Code, Kiro, Cursor, or similar AI-assisted development tools.

Test Automation

• Deep hands-on experience with Playwright is mandatory.
• Strong experience designing, developing, debugging, and maintaining automated test frameworks.
• Ability to write production-quality automation code and troubleshoot complex automation failures.

Data Migration & Data Quality

• Strong experience with SQL Server and PostgreSQL.
• Hands-on experience with data migration testing, ETL validation, source-to-target reconciliation, data quality, and schema mapping.
• Strong SQL skills.

Application & Integration Testing

• Experience with .NET / .NET Core and Angular applications.
• Strong experience with API and integration testing.

CI/CD

• Strong hands-on experience with Azure DevOps.
• Experience integrating automated testing into CI/CD pipelines.

Preferred Skills

• AWS: RDS, Lambda, S3, ECS/EKS, API Gateway, CloudWatch
• REST Assured
• Postman
• Karate
• Selenium
• Datadog
• Splunk

Qualifications

• 12 years of QA / Quality Engineering experience.
• Strong hands-on automation and software testing background.
• Proven experience with Playwright.
• Hands-on experience with Agentic AI for Quality Engineering.
• Strong SQL and data validation experience.
• Experience with SQL Server and PostgreSQL.
• Experience with data migration, ETL, reconciliation, and schema validation.
• Experience with .NET/.NET Core, Angular, APIs, and integration testing.
• Strong Azure DevOps and CI/CD experience.
• Demonstrated client-facing QE technical leadership experience.
• Ability and willingness to code, debug, troubleshoot, and enhance automation frameworks.

Important Role Clarification
This is a hands-on technical Quality Engineering leadership position. It is NOT a Test Manager role.

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