18 дней назад
Principal Software Quality Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Quality Engineer (AI) (AI, Test Automation): Defining quality strategy and building scalable test automation frameworks for AI-powered products and platforms with an accent on API, UI, integration, performance, and AI model validation. Focus on embedding automated testing into CI/CD pipelines, establishing quality gates, evaluating LLMs and agentic systems, and mentoring teams on scalable automation practices.
Location: Mexico City
Company
develops asset optimization software solutions for capital-intensive industries, including manufacturing, supply chain, digital grid management, and asset performance monitoring.
What you will do
- Define quality strategy and lead testing excellence across AI-powered products and platforms.
- Design, architect, and implement test automation frameworks for API, UI, integration, end-to-end, performance, and AI model validation.
- Integrate automated testing into CI/CD pipelines and establish quality gates.
- Track automation coverage, test effectiveness, quality metrics, reliability, and execution efficiency.
- Evaluate AI-assisted testing, autonomous test generation, and intelligent regression testing technologies.
- Mentor software developers on shift-left testing, automation design patterns, maintainability, and scalability.
Requirements
- Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- 8+ years of experience designing, developing, and maintaining scalable test automation frameworks and automated testing solutions.
- Expert proficiency in automation programming languages such as Python, Java, C#, or JavaScript.
- Experience with API, UI, integration, end-to-end, performance, and AI model validation testing.
- Strong knowledge of CI/CD, automated quality gates, and test execution orchestration in modern DevOps environments.
- Experience with AI application testing, LLM evaluation, or agentic system validation, plus strong analytical, troubleshooting, and debugging skills.
Culture & Benefits
- Career development programs and opportunities to support community service projects.
- Social events that foster relationship building across a global community.
- Collaboration with Software Development, Data Science, and Product Management teams.
- Work within a 1,300-person Research & Development organization focused on performance engineering, AI, manufacturing, supply chain, digital grid management, and asset performance monitoring.
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