QA Engineering Lead

About the Company We are partnering with a high-growth, well-funded education & fintech technology company building a finance-first operating system for schools across Latin America. The platform unifies payments, billing, collections, SIS, and academic workflows, supporting thousands of schools and hundreds of thousands of families . The company is scaling rapidly, with a strong focus on reliability, automation, and AI-driven quality . Role Overview We are looking for a QA Engineering Lead to build the Quality function from the ground up . This is a foundational leadership role responsible for defining QA strategy, automation frameworks, AI-assisted testing systems, and quality standards across all mission-critical financial and operational workflows. You will work closely with backend, platform, and AI teams to embed intelligent testing, anomaly detection, and automated triage into CI/CD pipelines—directly impacting platform stability and customer trust at scale. What Youll Do Build and own the QA automation and quality strategy end-to-end Design automated testing for high-impact financial flows (payments, billing, reconciliation, SIS) Partner with AI engineers to implement AI-assisted test generation and anomaly detection Define QA standards, release criteria, and quality gates Embed quality practices early in development (shift-left) Hire, mentor, and scale the QA team over time Tech Stack Python (FastAPI), Node.js, PostgreSQL, AWS/GCP, Kubernetes, event-driven microservices. Requirements 7+ years in QA, with 3+ years in QA leadership or automation roles Strong experience building automation frameworks from scratch Deep knowledge of API, backend, and integration testing Experience with CI/CD, microservices, and asynchronous systems Fluent in Spanish and English Nice to have: fintech or payments experience, message queues (Kafka/SQS), performance testing, AI-enabled testing exposure. Why This Role Build a QA function from zero with high ownership Work on complex, mission-critical financial systems Collaborate with senior engineering and AI teams Strong growth opportunities in a fast-scaling LATAM company Remote-first and competitive compensation Location: Remote (LATAM) Travel: Occasional onsite sessions