Senior QA Automation Engineer: AI-Driven Testing & Frameworks

Machine Learning Technologies, LLC; Hartford (CT); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC, a Hartford, CT area employer, seeks an experienced QA Automation engineer with 10+ years in software testing using Playwright and Selenium. The role focuses on building scalable test frameworks, backend API test automation, and database validation (SQL Server/MySQL) within Agile SDLC environments.

Candidate should demonstrate strong coding in Java, OOPs, data structures, and experience with CI/CD, Git, BDD, Cucumber, SpecFlow, and TDD, plus AI/GenAI‑driven

Qualifications

• 10+ years of experience in QA Automation and Software Testing using Playwright and Selenium.
• Strong technical expertise in Core Java, OOPs, and Data Structures, with the ability to work with multiple programming languages.
• Hands‑on experience designing, implementing, and enhancing scalable and maintainable test automation frameworks.
• Strong experience in SQL Server and database testing, with knowledge of MySQL.
• Good understanding of SDLC, Agile methodologies, and QA principles.
• Experience with CI/CD tools, Git, BDD, Cucumber, SpecFlow, and TDD.
• Expertise in Functional, Regression, Integration, and Performance Testing.
• Hands‑on experience in Backend API Test Automation and database testing.
• Mandatory knowledge of AI and GenAI, including exposure to AI‑driven tools for test automation and their integration into QA processes.

Skills

QA Automation

Playwright

Selenium

Core Java

OOPs

Data Structures

AI & GenAI

GenAI

Tools

Git

CI/CD

BDD

Cucumber

SpecFlow

TDD

AI-Driven Test Automation Tools

Job description

Machine Learning Technologies, LLC, a Hartford, CT area employer, seeks an experienced QA Automation engineer with 10+ years in software testing using Playwright and Selenium. The role focuses on building scalable test frameworks, backend API test automation, and database validation (SQL Server/MySQL) within Agile SDLC environments.

Candidate should demonstrate strong coding in Java, OOPs, data structures, and experience with CI/CD, Git, BDD, Cucumber, SpecFlow, and TDD, plus AI/GenAI‑driven