Quality Engineer Automation AI Tooling
About Us
Tech9 is shaking up a 20-year-old industry and were not slowing down. Recognized by Inc. 5000 as one of the nations 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
Were seeking an experienced Quality Engineer specializing in Automation and AI Tooling to join our growing QA team in LATAM.
In this role youll lead efforts to expand test capacity by evaluating piloting and implementing AI-assisted QA tools. Youll 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 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).
- Bachelors 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 1530 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 hourA final discussion with client stakeholders to validate technical alignment communication style and ability to support QA automation and AI-driven testing initiatives.
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