22 часа назад
Senior Software Quality Engineer – AI Automation Tester
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Quality Engineer – AI Automation Tester (ASP.NET/AI): Building an automated quality engineering ecosystem for the WISEintelligence platform with an accent on UI, API, integration, database, and CI/CD testing. Focus on AI-augmented test generation, validating probabilistic AI/ML outputs, detecting regressions and flaky behavior, and improving observability and release reliability.
Location: Remote within the United States
Company
develops an AI-native food intelligence platform that helps families understand and make decisions about the foods they eat.
What you will do
- Design and build automated UI testing frameworks for ASP.NET and highly interactive Blazor applications.
- Develop end-to-end, API, integration, regression, and database validation test infrastructure.
- Apply AI-assisted test generation, self-healing selectors, anomaly detection, and failure triage.
- Integrate automated testing and release validation into CI/CD workflows.
- Validate complex nutrition and food intelligence computations, including AI/ML-driven outputs.
- Improve testability, observability, quality metrics, reliability, and performance testing across engineering teams.
Requirements
- 5–10+ years of professional software engineering or software quality engineering experience.
- Experience building automated UI testing frameworks with Playwright, Selenium, Cypress, or equivalent tools.
- Experience testing APIs and distributed application workflows.
- Strong understanding of CI/CD pipelines and automated deployment validation.
- Experience with relational databases, ideally PostgreSQL, and the ability to reason across UI, API, database, and infrastructure boundaries.
- Strong debugging, systems-thinking, independent decision-making, and engineering judgment.
Nice to have
- Blazor-specific testing experience and strong C# coding ability.
- Performance or load testing experience.
- Experience validating AI-assisted or ML-integrated workflows.
- Observability, production diagnostics, containerized environments, or cloud infrastructure experience.
- Experience building developer tooling, quality platforms, or testing large-scale enterprise and data-intensive applications.
Culture & Benefits
- Remote full-time work within the United States.
- Engineering culture focused on systems thinking, ownership, and technical depth.
- Close collaboration with engineering leadership, product teams, and Principal Engineers.
- Competitive compensation, benefits, and opportunities for growth and impact.
- Technical work at the intersection of AI, data, computation, and human health.
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