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Ultralytics

Develops real-time computer vision AI models

Senior Quality Assurance Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeMadrid, Spain

About the Job

Requirements

  • At least 5 years of experience in quality assurance, test automation, or software engineering, with strong proficiency in TypeScript, Python, or both.
  • Deep expertise with Playwright for browser automation and end-to-end testing.
  • Solid understanding of API testing (REST/JSON), backend integration testing, and server component testing patterns.
  • Experience with modern web stacks including Next.js, React, TypeScript, serverless deployments (Vercel), and cloud infrastructure (GCP).
  • Proficiency with CI/CD systems, especially GitHub Actions, test gating, and pipeline optimization.
  • Experience working in monorepo environments with tools like Turborepo and Bun.
  • Familiarity with MongoDB and database testing strategies.
  • Ability to establish testing standards and mentor team members.

Responsibilities

  • Design and maintain automated test suites for backend services, web UI, and APIs using TypeScript and tools such as Playwright.
  • Lead end-to-end and browser-based testing strategy for the frontend using Playwright Test.
  • Write and maintain API and integration tests for Next.js API routes, server components, and serverless deployments on Vercel.
  • Validate data integrity and edge-case behavior across workflows involving MongoDB, training pipelines, and inference services.
  • Own test infrastructure within CI/CD using GitHub Actions, improving test reliability, parallelization, and signal-to-noise.
  • Establish testing patterns and best practices across a Turborepo monorepo with multiple apps.
  • Mentor junior engineers on testing strategies, code review, and quality-first development.
  • Collaborate with Engineering and Product to clarify requirements, define acceptance criteria, and identify issues early.
  • Contribute to internal QA documentation, test plans, and release readiness checks.

About the Company

Ultralytics

Develops real-time computer vision AI models

Ultralytics builds computer vision AI tools for creating, training, and deploying models. Its HUB platform is a no-code web and mobile tool where users drag and drop datasets, train in the cloud, collaborate with teams, and export models with an inference API. Ultralytics YOLO offers fast real-time object detection, segmentation, classification, and tracking for deployment on edge devices and cloud. The company differentiates itself with a strong open-source base paired with an enterprise licensing model, paid HUB plans, and managed data labeling, aiming to make AI accessible and scalable for individuals and businesses.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
London, United Kingdom
Founded
2014

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