QA Engineer

About Scholarship Owl

Scholarship Owl is the largest scholarship marketplace in the US, using AI to connect 14 million students who are looking for scholarships with companies that are looking for students.

Our mission is to make education financing more accessible and engaging, while giving brands a way to connect with the next generation.

We’re powered by AI technology that simplifies scholarship discovery, streamlines the application process, and delivers measurable results for both students and partners.

Whether it’s helping students secure funding or enabling brands to run impactful campaigns, we’re reshaping how education is funded — and discovered.

The Role

We’re looking for a highly skilled and innovative QA Engineer to lead end-to-end quality assurance, test automation, and release verification across our web platforms and supporting microservices.

You’ll play a pivotal role in ensuring zero-regression web releases, fast user conversion funnel performance, and seamless multi-service integrations for millions of students.

In this role, you will champion the "new generation" of quality engineering.

Beyond traditional test automation, you will leverage modern AI coding assistants (such as Cursor, Copilot, Chat GPT, Claude, and Gemini) as your primary force multiplier to achieve maximum test coverage at unmatched speed.

Working closely with frontend and backend teams across a modern multi-service architecture, you will shift quality left, auditing Figma specs before sprint commitments, reviewing PRs, and maintaining continuous quality gates in our CI/CD pipelines.

• What You’ll Do
• End-to-End
• Web

Automation: Build, maintain, and execute parallelized E2E smoke and regression test suites using Playwright and Type Script, integrated directly into Git Lab CI pipelines.

• API & Contract QA: Establish automated schema and contract test coverage across our platform, guaranteeing zero breaking changes for web users.
• AI Integration: Deeply integrate AI tools (Cursor, Copilot, Chat GPT, Claude, Gemini) into daily workflows to generate Playwright scripts directly from Figma specs, synthesize complex mock payloads, and automate log triage to double QA efficiency.
• Shift-Left
• Quality

Champion: Audit Figma design specs, UX flows, and API contracts early to catch edge cases, logic gaps, and design flaws before sprint commitments and development begin.

Participate actively in PR reviews.

• System Observability & Triage: Monitor build health, Sentry error logs, GCP Cloud Run logs, and Network profiling tools to isolate bugs rapidly between Nuxt frontend state, Graph QL resolvers, and Laravel backend My SQL databases.
• Asynchronous Integration Verification: Validate complex messaging and outreach workflows.
• Component Testing: Utilize Vitest and Storybook to conduct visual regression and component-level testing early in the release lifecycle.
• Required Qualifications (Must Haves)
• 3+ years of professional experience in Web QA Engineering / Test Automation, with at least 1+ year actively incorporating AI coding tools into daily workflows..
• Web
• Automation

Mastery: Strong hands-on experience with Playwright (or Cypress/Selenium with Type Script/Java Script) for automated E2E, visual regression, and cross-browser testing.

• API & Schema Verification: Practical experience testing Graph QL and REST / JSON: API endpoints using Bruno, Postman, or script-based test collections.
• Web Ecosystem & Profiling: Proficiency inspecting Nuxt/Vue DOM elements, inspecting Figma design specs/tokens, and utilizing Browser Dev Tools & Network profiling.
• CI/CD & Pipeline Integration: Experience integrating automated test runs into Git/Git Lab CI pipelines and configuring test reporters (e. g., HTML/JUnit).
• Education: Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience in software development / test automation.
• Communication: Clear, concise async communication skills in written and spoken English for bug reporting, documentation, and remote collaboration.
• Nice to Have
• AI-Native Focus: Advanced proficiency loading architecture specs, schemas, and UI design tokens into AI models to auto-generate Page Object Models and edge-case scenarios.
• Type Script & Component Testing: Direct Type Script, Vue 3, and Nuxt coding knowledge for writing component tests in Vitest and Storybook.
• Messaging & AI Service QA: Experience testing asynchronous messaging workflows (Twilio webhooks, SMS/RCS) or evaluating generative AI/LLM integration outputs (e. g., Gemini AI).
• Cloud Infrastructure & Feature Flags: Exposure to Docker, GCP (Cloud Run, Cloud Build), and Unleash feature flag management.
• Certifications in Quality Engineering, Web Testing, or AI-Assisted Software Engineering.
• Bonus Skills (The "X-Factor")
• Backend Stack Familiarity: Ability to read and debug PHP/Laravel core code and Bun/Node runtimes to assist engineering teams during multi-service bug isolation.
• High-Traffic …
• #J-18808-Ljbffr