Contractor: Senior Quality Engineer

Role overview This contract position calls for a hands-on Senior Full-Stack Quality Engineer to own end-to-end software quality within an Agile scrum team supporting classroom learning products. The work spans complex front-end applications, cloud-based back-end services, internally developed language models, and third-party AI integrations, requiring both automation craftsmanship and rigorous manual judgment. The mission centers on helping millions of students through reliable, learning-science-driven software.

Responsibilities - Design, build, and execute automated test frameworks and regression suites spanning UI, API, and service layers, leveraging AI-assisted authoring practices. - Validate non-deterministic AI features and large language model outputs against defined quality standards, including internally built models and third-party AI tools. - Drive test planning, execution, and release support from story validation through production deployment, owning quality decisions largely without oversight. - Partner early with product management, design, and engineering to translate ambiguous requirements into clear, testable acceptance criteria. - Mentor mid-level quality engineers, lead code reviews, and act as the team's quality advocate across design and implementation discussions. - Establish defect tracking, triage, and observability practices, applying AI tooling to accelerate detection, reproduction, and resolution workflows.

Requirements - 5+ years of professional software testing and QA experience in an Agile Scrum environment. - 5+ years building automated test frameworks using TypeScript, JavaScript, or Python, with hands-on Playwright or WebdriverIO work. - Broad testing capability across manual, exploratory, regression, integration, API/services, and database testing. - Solid grasp of Git branching, pull request workflows, and incremental CI/CD deployment pipelines. - Daily experience using AI coding assistants such as Claude Code or GitHub Copilot, paired with strong critical thinking and quality ownership. - Clear, proactive communication, with confidence surfacing release risks, defect trends, and production issues to stakeholders.

Nice to have - Background in EdTech, SaaS/B2B, or e-learning/online education platforms. - Familiarity with performance tools such as k6, JMeter, or Locust, and test management platforms like TestRail, Jira, Xray, or Zephyr. - Experience with observability tooling such as Datadog, Sentry, or New Relic, AWS-based test execution, and performance or accessibility testing. - Direct experience testing AI-driven features, LLM outputs, or ML-backed services.