Senior Full-Stack Quality Engineer

The role: Newsela is on a mission to deliver "meaningful classroom learning for every student." As a Senior Full-Stack Quality Engineer , you will be a critical force in ensuring that mission is delivered through reliable, high-quality software. You will work alongside talented product engineers to test complex front-end applications powered by cloud-based back-end services, internal LLMs, and third-party AI tools.

This is a hands-on, full-stack QE role — not just automation, not just manual. You will own quality end-to-end, moving from story acceptance criteria all the way to production health monitoring.

Why you’ll love this role:

• Drive High Impact: Own quality end-to-end within your scrum team and directly support a mission that transforms classroom learning for millions of students.

• Modern AI Workflows: Leverage cutting-edge AI tools (like Claude Code and GitHub Copilot ) to accelerate test development while testing complex, non-deterministic AI features and LLMs.

• Technical Ownership: Build and architect full-stack test frameworks across UI, API, and service layers with autonomy and high visibility.

• Collaborative Leadership: Partner closely with cross-functional peers in Product, Design, and Engineering while mentoring mid-level engineers to elevate the overall quality culture.

What You'll Be Doing:

• End-to-End Automation & Frameworks: Build, maintain, and execute automated test frameworks and regression suites across UI, API, and service layers using modern AI-assisted practices.

• AI & LLM Validation: Test and validate internally built LLMs and external AI tools and services, applying rigorous quality engineering standards to non-deterministic systems.

• Scrum & Delivery Ownership: Own test planning, execution, and release support from story validation to production deployment with minimal oversight.

• Cross-Functional Collaboration: Partner with Engineering, Product Management, and Product Design early in the lifecycle to refine ambiguous requirements into clear, testable acceptance criteria.

• Quality Advocacy & Mentorship: Serve as the team's quality advocate, providing technical guidance, conducting code reviews, and pairing with mid-level quality engineers.

• Defect Management & Observability: Establish best practices for defect tracking, triage, and communication while using AI tooling for issue detection, reproduction, and resolution.

About You:

• 5+ Years Experience: Professional software testing and QA experience within an Agile Scrum environment.

• Automation Expertise: 5+ years building test frameworks with TypeScript , JavaScript , or Python , including hands-on experience with WebdriverIO or Playwright .

• Full-Spectrum Testing: Demonstrated capability across manual, exploratory, regression, integration, API/services, and database testing.

• CI/CD & DevOps: Solid understanding of Git branching strategies, PR workflows, and incremental CI/CD deployment pipelines.

• AI Tooling Integration: Hands-on experience using AI coding assistants (e.g., Claude Code , GitHub Copilot ) as part of your daily workflow, paired with strong critical thinking and quality ownership.

• Proactive Communication: Ability to engage actively in all scrum ceremonies, surface release risks and defect trends to stakeholders, and handle production escalation support.

Required Industry & Technical Background

• Industry Experience: EdTech, SaaS/B2B software, or e-learning/online education platforms.

• Automation & Test Runners: Playwright , WebdriverIO , or Selenium (E2E browser automation); Jest , Vitest , or Mocha (unit/integration runners).

• Performance & Infrastructure: Experience with k6 , JMeter , or Locust ; test execution via GitHub Actions and AWS .

• Observability & Management: Experience with logs/error tracking in Datadog , Sentry , or New Relic ; test management using TestRail , Jira , Xray , or Zephyr .

Preferred Qualifications

• Experience testing AI-driven features, LLM outputs, or ML-backed services.

• Familiarity with performance and accessibility testing.

• Experience with cloud platforms ( AWS , GCP ) and CI/CD pipelines ( GitHub Actions , CircleCI ).

• Prior background in EdTech or consumer-facing SaaS products.

All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process.