Principal Quality Engineer
Posted November 11, 2026
Job Description
- This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Principal Quality Engineer based in Brazil. We are looking for a highly experienced and hands-on Principal Quality Engineer to define and drive quality engineering standards across a growing engineering organization. In this strategic and technical leadership role, you will take ownership of the company-wide quality vision, evolving existing testing practices, infrastructure, and AI-powered tools. You will work closely with engineering leaders and QA professionals to establish consistent quality standards while empowering teams to take greater ownership of software quality. A key focus will be advancing AI-native testing capabilities, strengthening CI/CD pipelines, and improving automated testing across the entire technology stack. You will also mentor QA engineers across multiple teams, promote continuous improvement, and introduce innovative approaches to software testing. This is an opportunity to shape the future of engineering quality in a fully remote, collaborative, and technology-driven environment with strong leadership support.
- Accountabilities: Quality Strategy and Vision: Own and continuously evolve the company-wide quality engineering roadmap, establishing clear standards, priorities, and accountability frameworks for engineers, Engineering Managers, and Product Managers throughout the software development lifecycle. Testing Strategy: Define and improve testing approaches across the entire technology stack, including unit, component, contract, API, end-to-end, mobile, and non-functional testing such as performance, load, and accessibility testing. AI-Native Quality Engineering: Drive the adoption and evolution of AI-powered quality tools, including AI agents and skills that support automated test generation, code reviews, and on-demand quality guidance. Explore emerging AI capabilities and identify opportunities to integrate them into engineering workflows. CI/CD and Test Infrastructure: Own and improve automated testing infrastructure, quality gates, required checks, end-to-end testing pipelines, visual regression testing, performance budgets, and mobile automation strategies across emulators and real-device cloud environments. Pipeline Optimization: Determine which quality checks should block deployments and which can run asynchronously, ensuring reliable testing processes without compromising development speed or delivery efficiency. Production Quality and Monitoring: Connect production monitoring with incident response processes and develop meaningful quality dashboards that engineering teams actively use to track performance and identify issues. Technical Leadership and Mentorship: Provide technical direction and mentorship to QA engineers across multiple engineering squads, helping them strengthen their testing practices, share knowledge, and adopt consistent standards. Cross-Functional Collaboration: Partner with Engineering Managers, Product Managers, and engineering teams to embed quality ownership into everyday development practices and ensure quality improvements are treated as planned engineering work. Continuous Research and Innovation: Evaluate emerging testing methodologies, technologies, and AI capabilities, experimenting with new approaches and determining which innovations should be adopted across the organization. Technical Enablement: Lead knowledge-sharing initiatives, coaching sessions, and practical training to improve testing maturity and empower engineers to take greater responsibility for software quality. Quality Performance: Establish measurable improvements in test reliability, pipeline efficiency, automation coverage, and overall engineering quality. Future Team Leadership: As the QA organization grows, potentially take on direct people management responsibilities, including recruitment, coaching, professional development, and performance management. Requirements: Professional Experience: Extensive experience in Quality Engineering, Software Testing, and Test Automation, with a proven track record of establishing and improving quality practices across engineering organizations. AI-Native Mindset: Practical experience using AI tools for quality engineering, particularly automated test generation, AI-assisted code reviews, and intelligent testing workflows. Familiarity with agentic development tools such as Claude Code and Model Context Protocol (MCP)-based workflows is highly valuable. Ability to identify and implement AI capabilities that improve engineering productivity and software quality. Strategic Quality Leadership: Strong ability to develop quality strategies based on each team's technical maturity and business context. You should be comfortable evolving existing processes rather than imposing standardized frameworks, tools, or arbitrary test coverage targets without understanding team needs. Hands-On Testing Expertise: Deep practical experience designing, implementing, and maintaining automated testing solutions across the testing pyramid, including component, contract, API, end-to-end, and performance testing. CI/CD and Infrastructure: Experience building, maintaining, and troubleshooting CI/CD pipelines, automated quality gates, test infrastructure, and deployment validation processes. Ability to resolve pipeline issues and remove technical blockers that affect software delivery. Automation and Testing Tools: Strong understanding of test automation frameworks, testing methodologies, visual regression testing, performance testing, and mobile automation across emulators and real-device environments. Technical Problem-Solving: Ability to investigate complex quality issues, improve test reliability, reduce flaky tests, optimize pipeline execution, and balance testing rigor with engineering speed. Mentorship and Enablement: Demonstrated ability to coach engineers and QA professionals, lead technical discussions, conduct training sessions, and promote quality ownership across multidisciplinary teams. Influence Without Direct Authority: Comfortable providing technical leadership and mentoring QA engineers across multiple teams without initially having direct management responsibility. Able to collaborate with Engineering Managers and provide meaningful feedback on QA performance and development. Communication and Collaboration: Excellent communication, interpersonal, and stakeholder management skills, with the ability to align engineering teams around shared quality objectives and explain technical recommendations effectively. Adaptability and Continuous Improvement: A pragmatic, curious, and forward-thinking mindset, with a strong interest in emerging technologies, AI-driven engineering practices, and continuous quality improvement. People Management Experience (Preferred): Previous experience hiring, coaching, and managing the performance of QA or engineering teams is a strong advantage, particularly as the role may evolve into direct leadership of the QA organization. Benefits: Competitive Salary: Annual base salary ranging from $80,000 to $100,000 USD, depending on experience and qualifications. Fully Remote Work: 100% remote opportunity, open to qualified candidates across Brazil, regardless of city. Flexible Paid Time Off: Flexible PTO policy focused on outcomes and results rather than hours logged. Work-Life Balance: Autonomy to organize your working environment and schedule while maintaining the necessary overlap with US-based partners. Professional Impact: Opportunity to become the first Principal Quality Engineer and shape the organization's quality engineering strategy. Technical Innovation: Exposure to AI-native engineering practices, advanced automation, and evolving software quality technologies. Leadership Opportunities: Direct collaboration with senior engineering leadership and the potential to grow into a broader QA management position as the organization expands. Collaborative Environment: Opportunity to work with distributed, multidisciplinary engineering teams and influence quality standards across the organization.
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