QA Developer

Location: New York, New York, United States, Jersey City, New Jersey, United States, Minneapolis, Minnesota, United States

Department: Toptal

Workplace: hybrid

Description

Role Overview

We are looking for a creative, data-centric Quality Assurance Engineer who goes beyond simple UI testing. You aren’t just checking if a button works—you are validating the data engines that power our Life Insurance and Annuity products.

You will use modern AI tools (such as Cursor and Claude) to write test scripts more efficiently and leverage frameworks like Playwright to ensure complex configurations are accurate and reliable.

What You’ll Do

Data-Centric Testing

• Create and manage complex data sets to test insurance quoting engines and logic.

• Understand data flow, data maintenance, and how configuration changes impact system output.

AI-Driven Automation

• Use AI coding assistants to write and optimize automated test scripts efficiently.

Test Engineering

• Build and execute automated test scripts using Playwright (primary).

• Contribute toward a future testing state that includes Selenium.

Test Management

• Organize and track testing cycles using Zephyr within the Atlassian/Jira ecosystem.

Problem Solving

• Analyze business problems to understand the “how” and “why.”

• Design tests that proactively uncover system weaknesses before users do.

The Ideal Candidate

Industry Context

• Experience in Life Insurance or Annuities is highly preferred.

Technical Skills

• Strong proficiency with Playwright and Zephyr.

• Familiarity with Selenium is a strong plus.

AI Native

• Comfortable using AI tools (e.g., Claude, Cursor) to accelerate coding and problem-solving.

Data Skills

• Solid understanding of SQL / SOQL to query data and validate backend logic.

Communication

• Native-level English proficiency to collaborate effectively in a high-touch, in-person environment.