4 дня назад
Staff Software Engineer in Test (SDET) I - Brazil
6 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer in Test (SDET) I - Brazil (AI-assisted QA and automation): Developing and governing manual, automated, and agentic testing workflows with an accent on AI operationalization, MCP-based test generation, validation standards, and scalable quality practices. Focus on measuring AI ROI, diagnosing false positives and regression drift, strengthening test coverage, and mentoring engineers in advanced testing techniques.
Location: Brazil; remote role
Compensation starts at $6,400 USD per month.
Company
provides software for home service professionals, including tools for scheduling, dispatching, payments, and business operations.
What you will do
- Lead AI adoption and operationalization across the squad, designing AI-enhanced testing workflows and measuring their impact.
- Define safe and reliable AI standards for test pipelines, regression systems, and validation workflows.
- Design and govern agentic testing workflows using MCP technologies such as Maestro MCP and Playwright MCP.
- Develop advanced test strategies, plans, and machine-readable test cases for AI-assisted test generation and broader coverage.
- Establish QA methodologies, automated testing frameworks, and technical standards across Engineering.
- Partner with MLOps, Platform, Product, and Engineering teams while mentoring QA and engineering professionals.
Requirements
- 8+ years of experience in quality assurance engineering, including manual and automated testing.
- Proficiency with Playwright, Cypress, TestNG, or JUnit.
- Experience with CI/CD tools such as GitLab or CircleCI, plus bug tracking and test management tools such as JIRA or TestRail.
- Hands-on experience operationalizing AI-assisted and agentic testing workflows, including MCP-based test generation and execution.
- Experience defining validation standards, human-in-the-loop boundaries, and measurable AI ROI outcomes.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience; an updated resume translated to English is required for consideration.
Nice to have
- Experience embedding AI knowledge-sharing into team culture and coaching senior engineers.
- Experience building reusable AI operational assets such as prompt libraries, validation checklists, triage runbooks, and agentic playbooks.
- Strong analytical, communication, problem-solving, and collaboration skills.
Culture & Benefits
- Flexible, take-it-as-you-need-it scheduled time off and paid holidays.
- MacBook provided from the first day and a $500 workspace stipend.
- Equity in a rapidly growing startup backed by top-tier venture capital firms.
- Inclusive, collaborative culture focused on improving the lives of home service professionals.
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