Senior Quality Engineering / Agentic AI Lead

Inabia Software & Consulting Inc.; Charlotte (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

Inabia Software & Consulting Inc. seeks a Senior Quality Engineering / Agentic AI Lead with 12+ years of QA/QE and hands-on automation expertise. You will spearhead QE initiatives, implement AI-assisted testing, and drive data migration validation across enterprise apps. Strong coding, debugging, and collaboration skills are essential.

The role emphasizes hands-on leadership, architecture thinking, and mentoring while delivering robust automation in a complex environment.

Qualifications

• 12+ years of QA / Quality Engineering experience.
• Hands-on automation and framework development.
• Proven QE leadership experience.

Responsibilities

• Lead hands-on QE and test automation initiatives across complex enterprise apps.
• Design Agentic AI solutions for QE including AI agents for test generation and triage.
• Utilize AI tools such as Copilot, Claude Code, Kiro, Cursor.
• Develop and maintain robust automation using Playwright.
• Triage failures, debug, and enhance automation frameworks.
• Execute data migration testing with SQL Server & PostgreSQL.
• Perform ETL validation, reconciliation, and schema mapping.
• Write complex SQL for data validation and test analysis.
• Conduct functional, integration, regression, API, and end-to-end testing.
• Test .NET / .NET Core and Angular apps and APIs.
• Integrate automated tests into Azure DevOps CI/CD pipelines.
• Collaborate with developers, architects, and client leadership.
• Provide client-facing QE leadership and communicate risks and findings.
• Mentor QE engineers while remaining hands-on.

Skills

Quality engineering

Hands-on automation

Agentic AI

API testing

Azure DevOps

Tools

Playwright

GitHub Copilot

Claude Code

Kiro

Cursor

SQL

SQL Server

PostgreSQL

REST Assured

Selenium

Datadog

Splunk

Job description

One of our clients is seeking a highly experienced Senior Quality Engineering / Agentic AI Leadwith 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 candidate will leverage Agentic AI and AI-assisted development toolsto 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 initiativesacross 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 testinginvolving SQL Server and PostgreSQL.
• Perform source-to-target reconciliation, ETL validation, data quality testing, and schema mapping validation.
• Develop complex SQL queriesfor 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 leadershipand 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 SQLskills.

Application & Integration Testing

• Experience with .NET / .NET Core and Angularapplications.
• 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 leadershipexperience.
• 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.