16 часов назад
Senior QA Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior QA Engineer (AI): Define and execute AI-augmented testing strategies and scalable automation frameworks for web, API, and software delivery workflows with an accent on intelligent test generation, self-healing tests, and predictive defect analysis. Focus on integrating AI tools into CI/CD quality gates, evaluating emerging QA technologies, and mentoring engineers in responsible AI-assisted quality engineering.
Location: Remote within the United States; candidates must reside in the U.S. and be authorized to work there.
Company
provides Meevo, business management software for salons, spas, and med spas.
What you will do
- Define and execute AI-augmented functional, integration, and automation testing strategies.
- Use AI and LLM-based tools for test design, automation script generation, defect root-cause analysis, documentation, synthetic test data, and edge-case discovery.
- Architect and maintain scalable automation frameworks with intelligent test selection, self-healing tests, and predictive defect analysis.
- Evaluate and pilot AI-powered QA tools, building proof of concepts and measuring quality and efficiency gains.
- Integrate reliable automated checks into CI/CD quality gates and promote shift-left testing.
- Mentor QA engineers and establish responsible AI-assisted quality engineering practices.
Requirements
- 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 scalable test automation with Playwright, Selenium, Cypress, or similar frameworks.
- Strong programming skills in Python, JavaScript, TypeScript, C#, or an equivalent language; working knowledge of SQL.
- Hands-on experience using AI or LLM-powered tools to improve QA efficiency, coverage, or speed, plus an understanding of prompt engineering and AI output risks.
- Experience with API testing, CI/CD integration, Agile delivery, release readiness, and test estimation.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field; strong analytical, communication, and documentation skills.
Nice to have
- ETL and data warehouse testing with Fivetran, Databricks, Snowflake, or similar tools.
- Data modeling, data reconciliation, and end-to-end validation across source, ETL, curated, and visualization layers.
- Performance, reliability, security, or visual AI testing experience with tools such as JMeter, Locust, k6, or Applitools.
- Experience building custom AI agents or LLM integrations and using observability tools such as Datadog, New Relic, or Grafana.
- Knowledge of OWASP principles and test management tools including Azure DevOps, Jira, TestRail, or Zephyr.
Culture & Benefits
- Remote work environment with emphasis on teamwork, integrity, client-centric commitment, passion, and excellence.
- Three weeks of paid time off, ten paid holidays, five paid sick days, and one personal day.
- Subsidized medical, dental, and vision plans.
- 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 contributions.
- Unlimited access to Udemy courses for learning and professional development.
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