Hands-On QA Tech Lead: AI-Driven Testing & Data Migration

Inabia Software & Consulting Inc.

Town of Charlotte (NY)

On-site

USD 140,000 - 180,000

Full time

12 days ago

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Job summary

Inabia Software & Consulting Inc. seeks a Senior Quality Engineering / Agentic AI Lead with 12+ years of QA/QE experience to lead hands‑on automation, data migration testing, and AI‑driven quality practices across enterprise applications.

This role requires designing AI‑powered testing solutions, writing and debugging automation code, and collaborating with clients and engineering teams to raise quality standards using Agentic AI, Playwright, SQL Server, and .NET/Angular ecosystems.

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.

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 QE technical leadership and communicate QE strategy, risks, findings, and recommendations.
Mentor other QE engineers while remaining actively involved in hands‑on development and troubleshooting.