QE Engagement Lead – Agentic AI for Quality Engineering

Hybrid in Charlotte, NC, US • Posted 4 days ago • Updated 4 days ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Agentic AI
  • AI agents
  • Quality Engineering

Summary

Job Title: QE Engagement Lead – Agentic AI for Quality Engineering

Location: Charlotte, NC (Hybrid – 3 Days Onsite)

Job Type: Contract

Experience: 12+ years

Job Overview

 

Key Responsibilities

 
  • Build and customize AI agents for test automation, test generation, defect triage, and impact analysis
  • Design, build, debug, and maintain Playwright automation frameworks to solve real-world challenges
  • Validate data migrations involving SQL Server and PostgreSQL (reconciliation, ETL validation, schema mapping, functional parity)
  • Work within existing client frameworks and governance models
  • Provide stakeholder communication, reporting, and hands-on delivery leadership

Required Skills

 
  • Agentic AI: Hands-on experience with AI agent tools such as GitHub Copilot, Claude Code, Kiro, or Cursor
  • Playwright: Strong automation framework development and debugging skills
  • Data Migration Testing: SQL Server, PostgreSQL, ETL validation, source-to-target reconciliation
  • Application Testing: .NET/.NET Core, Angular, REST APIs, integration workflows
  • DevOps: Azure DevOps CI/CD pipelines
  • SQL: Advanced SQL skills across SQL Server and PostgreSQL

Preferred Skills

 
  • AWS (RDS, Lambda, S3, ECS/EKS, API Gateway, CloudWatch)
  • REST Assured, Postman, Karate, Selenium
  • Datadog, Splunk, CloudWatch
  • Legacy modernization and migration programs
  • Distributed onsite/offshore delivery model experience

Location & Work Model

 

Charlotte, NC — Hybrid (3 days onsite per week). Open to relocation candidates.

Engagement Details

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113809
  • Position Id: 111982-1090-1789062184
  • Posted 4 days ago
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