Senior Technology Architect at Globo designing corporate platform evolution and improving media industry strategies. Collaborating on technology and business capabilities for digital transformation in Brazil.
About the role
- Quality Engineering leader building and governing testing strategies across multiple teams for Quantiphi's enterprise-level systems. Mentor teams and drive quality across UI, API, data, and AI-driven platforms.
Responsibilities
- Define Test Strategy & Quality Governance: Own and govern the end-to-end quality strategy across UI, API, backend, data, and AI-driven systems.
- Test Data & Data Governance: Lead test data strategy, validation, and governance across environments, pipelines, and AI workflows.
- People Leadership & Capability Building: Mentor QA leads and senior engineers, review test designs and automation code, and uplift overall testing maturity.
- Stakeholder Influence & Release Decisions: Act as the quality authority, providing risk assessments, metrics, and go/no-go recommendations to leadership.
- Lead Automation & Test Architecture: Architect and standardize Selenium- and Playwright-based automation frameworks using Java/Python, integrated with CI/CD pipelines.
- Drive API, Backend & Data Quality: Establish standards for API contract testing, integration testing, database validation, and data consistency across microservices.
- AI / Agentic System Testing Strategy: Lead testing approaches for LLM- and agent-based systems, including prompt behavior, hallucination detection, bias, and safety risks.
Requirements
- 7–10 years overall in Quality Engineering
- 5–7 years of experience leading QA teams or test practices
- 5+ years of hands-on Selenium automation experience with strong coding skills in Java or Python
- Proven expertise in test strategy, quality governance, and test metrics
- Experience designing and governing automation frameworks and test architecture
- Strong command over UI, API, backend, and database testing
- Solid understanding of API contract validation, integration testing, and data integrity
- Practical exposure to AI / LLM testing, including prompt validation and response evaluation
- Ability to mentor, coach, and grow senior testers and automation engineers
- Strong stakeholder communication and release quality ownership
- Experience testing AI agents, multi-turn workflows, and ML pipelines (Good-to-Have Skills)
- Performance and scalability testing strategy ownership (Good-to-Have Skills)
- Data pipeline validation and backend-heavy system testing (Good-to-Have Skills)
- Experience driving test transformation or QA modernization initiatives (Good-to-Have Skills)
- Exposure to large-scale or enterprise systems (SaaS, fintech, data platforms) (Good-to-Have Skills)
- Experience working in Healthcare domain (Good-to-Have Skills)
Job title
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