Quality Engineer – Automation + AI Tooling

Tech9 Labs; Castilla-La Mancha; A distancia; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

An innovative software company is seeking a Quality Engineer specialized in Automation and AI Tooling. You will lead QA automation efforts by implementing AI-assisted tools and creating scalable frameworks. The ideal candidate has over 5 years of experience in QA automation, strong scripting abilities, and excellent communication skills. This role is fully remote, offering flexibility and collaboration with a passionate team.

Servicios

Flexible working hours

Remote work environment

Collaborative culture

Formación

• 5+ years of experience in QA automation including framework design.
• Hands-on experience with AI-assisted testing tools.
• Strong scripting and automation skills in modern programming languages.

Responsabilidades

• Evaluate and implement AI-enabled QA automation tools.
• Design and maintain automation frameworks.
• Integrate automated tests into CI/CD pipelines.

Conocimientos

QA automation (UI and API)

AI-assisted testing tools

Python

JavaScript

TypeScript

CI/CD pipelines

Communication skills

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Playwright

Cypress

Selenium

Descripción del empleo

Quality Engineer – Automation + AI Tooling

About Us Tech9 is shaking up a 20-year-old industry, and we're not slowing down. Recognized by Inc. 5000 as one of the nation's fastest-growing companies, we are dedicated to building innovative, high-quality software solutions. Our team is passionate about delivering technology that makes an impact. We offer a 100% remote working environment with a collaborative and supportive culture, allowing you to focus on what you do best.

Role Overview

We’re seeking an experienced Quality Engineer specializing in Automation and AI Tooling to join our growing QA team in LATAM. In this role, you’ll lead efforts to expand test capacity by evaluating, piloting, and implementing AI-assisted QA tools. You’ll take ownership from proof-of-concept through pilot and operational handoff, while building scalable automation frameworks and championing modern QA practices. This is an ideal opportunity for a QA automation professional who thrives at the intersection of testing, AI innovation, and continuous delivery — someone excited to both build and influence the future of test automation in a modern engineering organization.

Responsibilities

• AI‑Assisted QA Innovation: Evaluate, select, and pilot an AI‑enabled QA automation tool (e.g., model-based testing, LLM‑assisted test generation, visual diffing, or self-healing locators).
• Automation Development: Design, implement, and maintain UI and API test automation frameworks using modern languages such as Python, JavaScript, or TypeScript.
• Tool Implementation: Own the full lifecycle of a new QA tool — from proof‑of‑concept to pilot deployment and team adoption.
• Continuous Integration: Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions, or GitLab CI) to support rapid and reliable releases.
• Test Strategy & Frameworks: Define testing strategies that balance speed, coverage, and stability across projects.
• Results Reporting: Build reporting dashboards and quality metrics that provide visibility into coverage, performance, and release readiness.
• Collaboration: Partner with developers, product managers, and UX teams to ensure automation aligns with user flows and business priorities.
• Evangelism & Enablement: Advocate for AI-assisted testing adoption, training QA peers, and sharing best practices across the organization.
• Continuous Improvement: Analyze testing processes, identify gaps, and introduce automation or tooling improvements to increase efficiency.

Minimum Qualifications

• 5+ years of experience in QA automation (UI and API), including framework design and CI pipeline integration.
• Hands‑on experience with AI-assisted testing tools (e.g., model-based testing, visual diffing, self-healing locators, or LLM-assisted test generation).
• Strong scripting and automation experience in Python, JavaScript, or TypeScript.
• Proven ability to evaluate, implement, and operate new QA tooling from POC through production rollout.
• Solid understanding of CI/CD pipelines, test orchestration, and reporting.
• Excellent communication, documentation, and cross-team collaboration skills.
• Self-starter with a proactive mindset and the ability to balance innovation with delivery.

Preferred Qualifications

• Experience with AI/ML testing platforms such as Testim, Mabl, Functionize, or Virtuoso.
• Familiarity with Playwright, Cypress, or Selenium.
• Experience testing in .NET or modern web application environments.
• Knowledge of API testing (REST, GraphQL) and Postman or similar tools.
• Exposure to cloud-based test execution (e.g., BrowserStack, Sauce Labs).
• Bachelor’s degree in Computer Science, Engineering, or related technical field.

Why Join Us?

• Impactful Work: Shape the next generation of AI-driven test automation and elevate product quality across multiple projects.
• Flexibility: 100% remote position based in LATAM (Mexico preferred) with flexible hours.
• Innovation: Experiment with cutting-edge AI testing tools and automation frameworks.
• Collaboration: Work with top engineers and QA experts in a supportive, global environment.
• Growth: Lead initiatives that directly influence how testing is done across the organization.

Interview Process

Our interview process is designed to move efficiently while ensuring transparency and alignment:

1. Introductory Call – 15 minutes. A brief conversation with our recruiting team to discuss your background, QA experience, and overall fit for the role.

2. On-Demand HireVue Screening – 15–30 minutes. Behavioral and situational questions focused on ownership, communication, testing mindset, and how you approach quality in fast-moving environments.

3. Internal Technical Interview #1 – 1 hour. A deep technical discussion covering UI/API automation, test architecture, framework design, CI integration, scripting fundamentals, and debugging approaches.

4. Internal Technical Interview #2 – 1 hour. Scenario-based problem solving focused on AI-assisted QA tooling, evaluation criteria, POC/pilot planning, self-healing automation strategies, and test scalability.

5. Hiring Manager Interview – 30 minutes. A conversation about your experience, collaboration style, leadership qualities, and how you drive quality practices across teams.

6. Client Interview – 1 hour. A final discussion with client stakeholders to validate technical alignment, communication style, and ability to support QA automation and AI-driven testing initiatives.