Key Responsibilities

● Design, build, and maintain automated test suites using Playwright, Appium, and Selenium across web and mobile platforms.

● Write robust end-to-end, integration, and regression tests in JavaScript/TypeScript and Python.

● Actively contribute to frontend and backend codebases to support testability, implement fixes, and integrate automation logic.

● Configure and maintain CI/CD pipelines using GitHub Actions, and AWS CodeBuild to run scheduled and ad-hoc tests.

● Use observability tools like Sentry and Datadog to trace bugs, review logs, and analyze performance issues through session recordings and alerts.

● Leverage AI-powered testing tools and techniques to improve test coverage, identify flakiness, and optimize regression workflows.

● Collaborate closely with a small team of developers, product stakeholders, and designers to embed quality into every stage of the development lifecycle — from design and planning through release and monitoring.

● Participate in test strategy reviews, code reviews, and continuously improve QA practices.

Qualifications

● 3+ years of experience in QA automation engineering or similar role.

● Proficient in JavaScript/TypeScript and Python for writing automation and contributing to product code.

● Hands-on experience with Appium for mobile automation on both Android and iOS platforms (required).

● Experience with Playwright and/or Selenium for web automation.

● Strong command of CI/CD pipelines and automated test integration using GitHub Actions, AWS CodeBuild, and Jenkins.

● Proficient in using Sentry, Datadog, or equivalent tools to monitor logs, detect issues, and debug across environments, helping Engineers quickly identify root cause..

● Comfortable navigating and contributing to both frontend and backend systems.

● Strong debugging, analytical, and communication skills.

Preferred Skills

● Experience working with modern frontend frameworks (e.g., React, Next.js) and backend stacks (e.g., Node.js, Flask, Django).

● Familiarity with Docker, Kubernetes, or other containerized environments for test execution.

● Exposure to performance, load, or stress testing tools.

● Working knowledge of or interest in AI-assisted testing platforms (e.g., test generation, predictive failure detection). Agile development experience and a bias toward iterative  testing and rapid feedback.