Senior Software Development Engineer In Test (ML/AI)

Join SIE, a company dedicated to making play safer for everyone. As a Senior Software Development Engineer in Test (ML/AI), you will be part of the Information Security team, responsible for protecting our people, platforms, and products. You will guide quality strategy, develop automation frameworks, and manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves leading quality initiatives, working closely with various teams, and shaping how quality is built, monitored, and expanded.

• Definir y completar estrategias de calidad, planes de prueba y cobertura de automatización para servicios y componentes de plataforma impulsados por ML.
• Diseñar, desarrollar y mantener marcos de automatización escalables para servicios backend, API y sistemas de inferencia ML utilizando Python y/o Java.
• Colaborar con equipos de ingeniería y ML para integrar pruebas automatizadas en pipelines de CI/CD y flujos de trabajo de lanzamiento.
• Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.)
• Experience testing high-scale, low-latency online services
• Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker)
• Experience validating ML outputs using statistical analysis or scenario-based testing approaches
• Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions
• Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows
• Proficiency in Python, Java, JS or similar languages for automation development
• Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium
• Proven risk management and dependency coordination skills
• Familiarity with databases, monitoring, and observability tools
• Bachelor’s degree in Computer Science or equivalent
• Strong experience testing RESTful APIs, microservices, and distributed architectures
• Strong understanding of SDLC, Agile methodologies, and release processes
• Excellent problem-solving, debugging, and communication skills
• Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences
• Familiarity with Node.js, React, or modern frontend technologies
• Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.)
• 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems
• Strong combination of automation engineering and delivery ownership
• Prior work in content moderation ML, security, fraud detection, or adversarial ML
• Ability to drive quality across complex cross-functional initiatives
• Experience with Databricks or similar ML platform tooling
• Passion for scalable, reliable, and maintainable automation systems
• Experience testing mobile, console, or other non-PC platforms
• Ability to influence engineering teams and promote quality guidelines