Job Details

Primary Skills

Title: Senior QA Automation Engineer – Playwright with P&C insurance

Location: NJ (Day 1 Onsite)

Overview

As a Senior QA Automation Engineer, you will play a critical role in designing, developing, and maintaining scalable automation frameworks using Playwright. You will be responsible for integrating automated testing into CI/CD pipelines and driving shift-left quality practices across the application lifecycle. This role requires strong hands-on experience in automation engineering, test framework development, and continuous testing within Agile delivery models.

 Roles & Responsibilities

• Design, develop, and maintain automation frameworks using Playwright.
• Create automated test scripts for functional, regression, integration, and smoke testing.
• Analyze user stories and determine automation feasibility.
• Integrate automation suites with CI/CD pipelines.
• Execute automated test suites and troubleshoot failures.
• Collaborate with Development, QA, and DevOps teams to improve product quality.
• Maintain automation code repositories and testing standards.
• Participate in Scrum ceremonies and provide QA automation status updates.
• Publish automation execution reports, failure analysis, and improvement recommendations.
• Promote best practices in automation, continuous testing, and quality engineering.

Desired Skills, Experience, Qualifications

• 5-8 years of experience in automation testing.
• Minimum 3+ years of hands-on experience with Playwright.
• Strong proficiency in TypeScript or JavaScript.
• Experience building and maintaining automation frameworks.
• Strong experience integrating automation into Azure DevOps, GitHub Actions, or Jenkins CI/CD pipelines.
• Experience in API testing and automation.
• Strong understanding of automation design patterns and testing methodologies.
• Ability to analyze failures, perform root cause analysis, and improve framework stability.
• Experience working in Agile/Scrum environments.

 Must Have:

• Design and develop robust ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks.
• Integrate structured, semi-structured, and unstructured data from cloud and on-premises systems.
• Implement data transformation, cleansing, validation, and orchestration processes.
• Optimize data ingestion strategies for performance and reliability.