Job description
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
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.