Principal Quality Engineer

Accountabilities • Define and maintain the company-wide quality engineering roadmap, establishing clear standards and a shared vision for testing, automation, and software reliability.

• Develop a quality accountability framework that clarifies the responsibilities of engineers, engineering managers, and product managers throughout the software development lifecycle.

• Establish adaptable testing strategies across unit, component, contract, API, end-to-end, mobile, performance, load, and accessibility testing, tailoring approaches to each team's maturity and product needs.

• Evolve AI-powered quality engineering capabilities, including agent-based workflows and tools for automated test generation, code review, and on-demand quality guidance.

• Research, experiment with, and evaluate emerging AI technologies and testing approaches, identifying opportunities to improve engineering productivity and software quality.

• Own the evolution of CI/CD quality infrastructure, including required checks, release gates, end-to-end testing pipelines, visual regression testing, performance budgets, and mobile automation across emulators and real-device environments.

• Optimize testing pipelines by reducing flaky tests, managing infrastructure costs, improving execution speed, and determining which checks should block deployments versus run asynchronously.

• Strengthen production quality signals by integrating monitoring with incident response and developing actionable dashboards that help teams detect and resolve issues.

• Provide technical leadership and mentorship to QA engineers across teams, sharing best practices, delivering enablement sessions, and supporting consistent quality standards.

• Collaborate with engineering managers to communicate QA engineers' technical development and performance-related feedback while respecting existing reporting structures.

• Turn quality improvements into planned, measurable engineering work rather than leaving them as secondary responsibilities for individual teams.

• Measure the impact of quality initiatives through clear indicators, including pipeline reliability, test efficiency, AI-tool adoption, and improvements in engineering outcomes.

• Document and communicate quality standards, technical decisions, and reusable practices so successful approaches can be adopted across the organization.

• Potentially take on direct people-management responsibilities as the QA organization expands, including hiring, coaching, and performance management.

Requirements:

• Extensive experience in quality engineering, software testing, and test automation, with the technical depth and strategic judgment expected of a principal-level individual contributor.

• Hands-on experience using AI tools for quality engineering, including automated test generation and AI-assisted code review in real production environments.

• Experience building or configuring agent-based workflows, such as Claude Code or MCP-based integrations, that enable engineers to run testing and quality checks on demand.

• Strong practical expertise across the testing pyramid, including component, contract, API, end-to-end, and performance testing, with experience building and maintaining the associated test suites.

• Proven ability to design, implement, and troubleshoot CI/CD pipelines, automated quality gates, test infrastructure, and release validation workflows.

• Knowledge of mobile test automation, visual regression testing, performance budgets, accessibility testing, and testing across emulators and real-device environments.

• Experience with monitoring, observability, incident response, and production quality metrics, with the ability to translate technical signals into actionable improvements.

• Strategic and adaptable approach to quality engineering, including the ability to assess team maturity and select appropriate practices without imposing arbitrary coverage targets or preferred tools.

• Strong understanding of software development processes and the ways testing, automation, and quality assurance integrate into the full development lifecycle.

• Demonstrated ability to lead through technical influence rather than relying on formal authority, including mentoring QA engineers and collaborating with engineering managers and product teams.

• Excellent communication and teaching skills, with experience explaining testing concepts, coaching engineers, and facilitating technical enablement sessions.

• Willingness to remain hands-on by personally developing tooling, improving infrastructure, and resolving complex testing and deployment issues.

• Continuous-improvement mindset, with the ability to evaluate emerging technologies, run experiments, and scale solutions that demonstrate measurable value.

• Comfort working autonomously, documenting decisions, collaborating across distributed teams, and balancing strategic planning with practical implementation.

• Previous experience hiring, coaching, or managing QA or engineering teams is an advantage, particularly for potential future people-management responsibilities.

• Motivated by improving the quality and effectiveness of the entire engineering organization rather than focusing solely on headcount growth or release approvals.

Benefits:

• Competitive annual base salary of USD $80,000–$100,000 .

• Fully remote work arrangement, with flexibility to work from anywhere in Brazil.

• Flexible paid time off, with an emphasis on results and outcomes rather than hours logged.

• High-impact technical leadership opportunity with direct sponsorship from engineering leadership.

• Significant autonomy to shape quality engineering strategy, tooling, and best practices across the organization.

• Opportunity to work with AI-powered development and testing tools and help advance modern quality engineering practices.

• Hands-on technical challenges involving automation, CI/CD infrastructure, software reliability, and scalable testing.

• Potential career growth into direct QA team management as the organization and its quality engineering function expand.

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