QA Engineering Lead

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.

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.

• 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

Python (FastAPI), Node.js, PostgreSQL, AWS/GCP, Kubernetes, event-driven microservices.

• 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.

• 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

Originally posted on Himalayas