обновлено 2 дня назад
Senior QA Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior QA Engineer (AI): Building scalable automated testing strategies and frameworks for web and API software with an accent on AI-assisted test generation, defect analysis, and intelligent test selection. Focus on evaluating emerging QA tools, integrating quality gates into CI/CD pipelines, mentoring QA engineers, and applying responsible AI practices across the software delivery lifecycle.
Location: Remote within the United States; candidates must reside in the U.S. and be authorized to work there.
Company
provides Meevo, a business management software platform for salons, spas, and med spas, serving more than 150,000 daily users.
What you will do
- Define and execute AI-augmented functional, integration, and automation testing strategies.
- Use AI tools for test case design, automation script generation, defect root-cause analysis, documentation, test data generation, and edge-case discovery.
- Architect and maintain scalable test automation frameworks with intelligent test selection, self-healing tests, and predictive defect analysis.
- Evaluate emerging AI-powered QA tools through proof-of-concepts and measurable quality and efficiency assessments.
- Integrate reliable automated quality gates into CI/CD pipelines and promote shift-left testing.
- Mentor QA engineers and establish responsible AI quality-engineering practices across the organization.
Requirements
- Must reside in the United States and be authorized to work in the U.S.; employment verification is conducted through E-Verify.
- Professional experience in software Quality Assurance or Quality Engineering, including end-to-end, risk-based, regression, integration, exploratory, web, and API testing.
- Experience building and maintaining large-scale automation with Playwright, Selenium, Cypress, or similar frameworks.
- Strong programming skills in Python, JavaScript, TypeScript, C#, or an equivalent language, plus SQL for test data and validation.
- Hands-on experience with AI or LLM-powered tools for improving QA efficiency, coverage, or speed, including prompt engineering and output validation.
- Experience with API testing, CI/CD integration, Agile delivery, analytical problem-solving, and technical communication.
Nice to have
- ETL, data warehouse, data modeling, data reconciliation, or end-to-end data-flow testing experience.
- Experience with performance, scalability, failover, reliability, security, or visual AI testing.
- Experience building custom AI agents, workflows, or LLM-provider API integrations.
- Familiarity with observability, security, and test management tools such as Datadog, Grafana, OWASP, Jira, or TestRail.
Culture & Benefits
- Remote work with a culture focused on innovation, empowerment, creativity, integrity, and professional development.
- Three weeks of paid time off, ten paid holidays, five paid sick days, and one personal day.
- Subsidized medical, dental, and vision insurance.
- Company-paid life, AD&D, and long-term disability insurance, plus short-term disability coverage.
- 401(k) plan with a 100% match on up to 4% of employee contributions.
- Unlimited access to Udemy courses for learning and development.
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