Senior Quality Engineering / Agentic AI Lead - Inabia Software & Consulting Inc.
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Location
In office
Seniority
Staff · 12+ years exp
Overview
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Inabia is an American technology consulting and staffing company that supplies software engineers, data specialists and analysts to enterprise and public sector clients. Its work covers custom application development, data engineering and analytics, cloud infrastructure and increasingly applied artificial intelligence, delivered both as consulting engagements and as direct placement of specialists into client teams. Headquartered in Columbus, Ohio with delivery capability in India, it posts a continuous volume of technical vacancies on behalf of client employers across the United States.
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.
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.
- 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.
- 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.
- Experience with .NET / .NET Core and Angular applications.
- Strong experience with API and integration testing.
- Strong hands-on experience with Azure DevOps.
- Experience integrating automated testing into CI/CD pipelines.
- AWS: RDS, Lambda, S3, ECS/EKS, API Gateway, CloudWatch
- REST Assured
- Postman
- Karate
- Selenium
- Datadog
- Splunk
- 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.
This is a hands-on technical Quality Engineering leadership position. It is NOT a Test Manager role.
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