Agentic AI for Quality Engineering

OmegaHires

$120K — $145K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years in QA/QE with client-facing leadership experience
  • Strong SQL skills with SQL Server and PostgreSQL
  • Hands-on experience with .NET/.NET Core, Angular, and APIs
  • Expertise in data migration testing and schema mapping
  • Experience with Azure DevOps CI/CD and automation frameworks

Responsibilities

  • Drive quality validation for application modernization and migration initiatives
  • Build and customize AI agents for test automation and defect triage
  • Develop, debug, and maintain Playwright automation frameworks
  • Validate data migrations with a focus on quality and functional parity
  • Engage with clients and engineering teams to resolve technical issues

Benefits

  • Opportunity to work with cutting-edge technologies like Agentic AI
  • Engagement in high-impact projects involving modernization and migration
  • Hands-on role that allows for continuous coding and technical problem-solving
  • Experience leading client-facing quality engineering engagements
  • Work in a collaborative, distribution model across teams
Full Job Description
Agentic AI for Quality Engineering

Role OverviewSeeking a highly hands-on QE Engagement Lead to drive quality validation for application modernization and migration initiatives involving .NET, Angular, AWS, SQL Server, and PostgreSQL.This is not a Test Manager role. The ideal candidate must be technically strong, capable of coding, reviewing automation, validating migrations, and leading client-facing QE engagements.

Mandatory Skills (Non-Negotiable)Agentic AI in Quality EngineeringHands-on experience building/customizing AI agents for test automation, test generation, defect triage, and impact analysis.Experience with tools such as GitHub Copilot, Claude Code, Kiro, Cursor, or similar.

Playwright AutomationStrong hands-on experience building, debugging, and maintaining Playwright automation frameworks.Ability to solve real-world automation challenges, not just provide high-level guidance.

Data Migration TestingProven experience validating migrations involving SQL Server and PostgreSQL.Expertise in source-to-target reconciliation, ETL validation, data quality checks, schema mapping, and functional parity testing.

The ideal candidate is:A hands-on automation engineer who can still code daily.Deeply experienced with Playwright automation.Capable of building or customizing Agentic AI testing solutions.Strong in migration and data validation testing.Comfortable challenging technical issues with clients and engineering teams.Able to lead from the front rather than managing from a distance.Experienced working within a client's existing frameworks and governance models.

Additional Requirements:12+ years in QA/QE with client-facing leadership experience.Strong SQL skills with SQL Server and PostgreSQL.Experience testing .NET/.NET Core, Angular, APIs, and integration workflows.Hands-on Azure DevOps CI/CD experience.Ability to work within existing client frameworks and governance models.Excellent stakeholder communication and reporting skills.

Preferred SkillsAWS (RDS, Lambda, S3, ECS/EKS, API Gateway, CloudWatch)REST Assured, Postman, Karate, SeleniumDatadog, Splunk, CloudWatchLegacy modernization and migration programsDistributed onsite/offshore delivery model

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