Freelance QA Engineer

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Job Overview

We are looking for an experienced Freelance QA Engineer to join a high-performing engineering team working on scalable products for global enterprise clients.

This role is ideal for professionals currently working in a 100% REMOTE setup and looking to take up a long-term freelance or part-time engagement alongside their primary role with competitive compensation and meaningful additional income.

Company Background

We are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ strong engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Playwright, Selenium, and Java.
• Develop automated test scripts for web applications and ensure test coverage across critical functionalities.
• Collaborate with developers, product managers, and QA teams to understand requirements and design effective test strategies.
• Execute functional, regression, integration, and end-to-end tests.
• Identify, document, and track defects using bug tracking tools (JIRA, Azure DevOps, etc.).
• Integrate automation scripts with CI/CD pipelines (Jenkins, GitHub Actions, etc.).
• Ensure test automation best practices and improve overall test efficiency and coverage.
• Participate in code reviews and QA process improvements.

Required Skills

• 7+ years of experience in QA Automation.
• Strong expertise in Java programming.
• Hands-on experience with Playwright and Selenium automation frameworks.
• Experience in TestNG / JUnit frameworks.
• Strong experience in API testing (REST APIs, Postman, RestAssured).
• Knowledge of CI/CD tools (Jenkins, GitLab CI, etc.).
• Experience with version control tools (Git).
• Good understanding of Agile/Scrum methodologies.

Good to Have

• Experience with BDD frameworks (Cucumber).
• Exposure to performance testing tools (JMeter, Gatling).
• Experience with Docker / cloud environments (AWS, GCP, Azure).

Education

Bachelor’s degree in Computer Science, Engineering, or related field.

Engagement Details

• Commitment: ~35 hours per week with predictable workload and clear deliverables
• Work Model: 100% remote engagement from our side
• Compensation: Monthly payouts with a transparent pay cycle
• Tenure: Long-term engagement for high performers; continuity and stability assured
• Eligibility: Open only to professionals currently working in a full-time remote role (validated during screening)
• Growth: Opportunity to work on complex, high-impact products alongside senior engineering leadership

Click on Apply to know more.