This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an SDET Architect (AI Focus) based in Mexico.
This role offers an opportunity to shape enterprise-wide quality engineering strategy while advancing the use of artificial intelligence in software testing.
You will operate at an Architect or Principal level, combining deep test automation expertise with strategic leadership and technical innovation.
The position spans UI, API, integration, performance, and data testing, with a strong focus on scalable and maintainable automation frameworks.
You will help establish modern quality standards, strengthen CI/CD governance, and embed intelligent testing capabilities into engineering workflows.
The role provides significant influence across Engineering, DevOps, Data Engineering, and Product teams while driving quality transformation initiatives.
You will also mentor QA engineers and Software Development Engineers in Test (SDETs), helping establish consistent tooling, practices, and governance.
This is an ideal opportunity for a senior quality engineering leader who combines strong programming skills with practical AI and Large Language Model (LLM) experience.
Accountabilities
- Define and lead enterprise-level test automation strategies spanning user interface (UI), application programming interface (API), integration, performance, and data testing layers.
- Architect scalable, maintainable, and reusable automation frameworks using Java-based technologies and modern testing practices.
- Apply artificial intelligence and Large Language Models (LLMs) to quality assurance workflows, including test generation, self-healing automation, debugging, intelligent test data creation, and defect analysis.
- Establish responsible, secure, and governed adoption of AI-powered testing tools across engineering workflows.
- Design and implement automation frameworks using technologies such as Selenium and Playwright for UI testing.
- Develop and oversee API automation solutions using tools such as Postman, RestAssured, and Swagger/OpenAPI.
- Establish robust strategies for integration testing and data validation, including ETL testing for large-scale data platforms.
- Integrate automated testing into Continuous Integration and Continuous Delivery (CI/CD) pipelines using technologies such as Jenkins, GitLab CI, Docker, and Kubernetes.
- Establish and enforce quality gates within DevOps pipelines to improve release confidence and governance.
- Lead quality assurance transformation initiatives designed to improve quality maturity, automation coverage, and delivery predictability.
- Drive data quality validation strategies across enterprise data and ETL environments.
- Collaborate with Engineering, DevOps, Data Engineering, and Product teams to align quality engineering practices with broader technology and product objectives.
- Mentor QA engineers and SDETs while establishing standards, tooling, processes, and governance models.
- Evaluate emerging AI-enabled testing capabilities and determine where they can create measurable improvements across quality engineering workflows.
- Continuously assess and evolve quality engineering methodologies, automation practices, and organizational standards.
Requirements
- Bring 10+ years of professional experience in test automation and quality engineering.
- Demonstrate proven experience operating at an Architect or Principal level within quality engineering or software testing.
- Possess hands-on experience applying artificial intelligence to Quality Assurance (QA), including AI-assisted automation with Playwright or Selenium.
- Have practical experience using AI-assisted development and testing technologies such as GitHub Copilot, Large Language Models (LLMs), or comparable solutions.
- Demonstrate strong programming expertise, preferably within the Java ecosystem.
- Possess extensive experience building and maintaining automation frameworks for UI, API, integration, and data testing.
- Have strong experience with Selenium and/or Playwright for UI automation.
- Demonstrate experience with Postman, RestAssured, and Swagger/OpenAPI for API testing.
- Have experience with data validation and Extract, Transform, Load (ETL) testing.
- Demonstrate extensive experience integrating automated testing into CI/CD pipelines using Jenkins, GitLab CI, Docker, and Kubernetes.
- Possess a deep understanding of DevOps practices, software delivery processes, and release governance.
- Have experience defining and executing QA strategies for enterprise-scale technology platforms.
- Demonstrate strong communication, presentation, collaboration, and stakeholder management skills.
- Be capable of influencing technical and business stakeholders while driving quality engineering transformation initiatives.
- Demonstrate advanced written and verbal English proficiency.
- Bring a continuous-learning mindset and the ability to evaluate new technologies and methodologies in a rapidly evolving AI and software engineering environment.
Benefits
- Stock options.
- Remote work opportunities.
- Flexible working hours.
- Benefits that go beyond statutory requirements.
- Collaborative environment with experienced IT professionals.
- Access to mentorship and ongoing learning opportunities.
- Opportunities to develop technical expertise in AI-driven quality engineering.
- Opportunity to influence enterprise-wide testing standards, automation strategy, and quality transformation.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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