QA Engineer - Remote

Overview

We are looking for a QA Engineer to drive test automation, quality assurance, and reliability across our software, AI, and data-driven systems. Our platform consists of software applications, AI-powered features, and large-scale data pipelines, and we need someone who can ensure end-to-end product quality.

In Short

• Design, develop, and maintain test automation suits using Playwright and TypeScript.
• Support engineers in test automation in their domain and smoothly integrate automated testing into CI/CD pipelines following fail-fast approach.
• Collaborate with Data Engineers and Data Scientists to validate data integrity, AI model behavior, and data pipeline transformations.
• Partner with Product Managers and Engineering Managers to refine testing strategies for complex and evolving requirements.
• Utilize monitoring tools like Datadog to track system performance, identify anomalies, and ensure system stability.
• Conduct manual testing when necessary, focusing on edge cases, exploratory testing, and AI model behavior validation.
• Advocate for Shift-Left Testing, ensuring defects are caught early in the development cycle.
• Share knowledge and mentor team members on test automation strategies, best practices, and quality assurance methodologies.
• Continuously improve the efficiency and reliability of our test suites by eliminating flaky tests and optimizing execution speed.

Requirements

• 5+ years of experience in QA with a strong focus on test automation.
• Proficiency in TypeScript and hands-on experience with Playwright.
• Strong understanding of backend and frontend testing for complex software systems.
• Experience working with databases and data warehouses, for instance Databricks, Postgres, MongoDB.
• Experience with API testing, integration testing, and UI automation.
• Hands-on experience with monitoring tools like Datadog for detecting and analyzing system issues.
• Strong collaboration skills and ability to work across multiple teams.
• Strong problem-solving and analytical skills with ability to work in ambiguous environments.
• Experience mentoring and sharing knowledge on automation and testing best practices.

Benefits

• Familiarity with data validation, AI/ML testing, and ensuring data pipeline accuracy.
• Experience with contract testing (e.g., Pact, WireMock) for API and data interactions.
• Exposure to performance testing and system monitoring.
• Prior experience working in a dedicated QA team in a high-growth tech environment.