QA Automation Engineer

Jobgether • Greater São Paulo Area

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a QA Automation Engineer to build and scale robust end-to-end test automation systems. The ideal candidate has strong technical expertise in building reliable E2E testing systems and improving software quality at scale. This is a fully remote position with collaboration across international engineering teams.

Key Highlights

Building and scaling robust end-to-end test automation systems

Developing stable, scalable, and high-performing test frameworks

Ensuring reliable releases and product stability

Key Responsibilities

Designing, building, and maintaining scalable automation systems

Developing, maintaining, and expanding end-to-end test automation frameworks

Ensuring strong regression coverage across frontend and backend systems

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Technical Skills Required

TypeScript Playwright JavaScript

Benefits & Perks

Fully remote position

Opportunity to work with modern automation technologies

High-impact role influencing product quality and release reliability

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Nice to Have

Experience with SaaS, multi-tenant systems, or role-based access testing

Exposure to AI-assisted testing tools and automation optimization practices

Job Description

This role is focused on building and scaling robust end-to-end test automation systems within a fast-paced, product-driven engineering environment. You will take ownership of automation quality, ensuring reliable releases by developing stable, scalable, and high-performing test frameworks using modern tools like Playwright and TypeScript. Working closely with frontend and backend engineers, you will strengthen regression coverage, eliminate flaky tests, and improve overall product stability. The position requires a strong engineering mindset, with emphasis on problem-solving, debugging, and continuous optimization of testing systems. You will also contribute to CI/CD integration, ensuring seamless validation across deployment pipelines. This is an opportunity to work in a highly autonomous environment where automation directly impacts product velocity and release confidence.

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