About the company

They are building the finance-first All-In-One Operating System for private education across Latin America.

Already trusted by 1,000+ schools and hundreds of thousands of families in Mexico, Colombia, and Ecuador.

Well-funded with $89M raised, fresh $50M debt facility, and a transformative acquisition that turns them into the full-stack OS for schools.

Mission: give every school perfect clarity, zero financial surprises, and the cash flow to never close its doors.

Role Overview

They are  seeking a QA Engineering Lead to build and lead the entire Quality function from the ground up. You will own the strategy, automation framework, AI-assisted testing systems, processes, and quality standards that elevate reliability across payments, billing, reconciliation, onboarding, integrations, SIS, and every mission-critical workflow.

This is a foundational role responsible for establishing the automation and AI-enabled testing architecture that will define the next generation of product reliability across the  platform.
You will work closely with world-class AI engineers, platform engineers, and backend teams to embed intelligent QA agents, anomaly detection systems, predictive failure analysis, and automated triage into our testing and release pipelines.

Your work directly impacts millions of tuition payments processed annually, the trust of thousands of schools, and the day-to-day experience of families across Latin America. This is a high-impact senior leadership role for someone who thrives in fast-scaling environments and is energized by building systems from zero.

What You’ll Lead

1. Build the QA Automation Foundation (AI-Enabled)

• Design and implement a centralized automation framework using both scripted and AI-driven test generation.

• Develop automated regression suites for high-sensitivity financial flows (payments, reconciliation, invoicing, SIS sync).

• Partner with AI engineers to build QA agents that:

• Automatically generate test cases.

• Identify edge cases and failure patterns.

• Run continuous validation on event streams.

• Detect anomalies using ML signals.

• Integrate automation into CI/CD pipelines to enforce reliable, predictable deployments.

• Create the foundations for self-healing test suites that adapt as the platform evolves.

2. Define QA Processes, Standards & Tooling

• Establish QA methodology, testing standards, quality gates, and release criteria across all engineering teams.

• Build documentation, playbooks, and a shared internal knowledge base.

• Implement AI-assisted triage to classify failures, identify root causes, and reduce manual debugging time.

• Develop quality dashboards powered by ML-based scoring and health indicators.

•  Ensure testing is integrated early into development (“shift-left” quality).

3. Lead & Scale the QA Function

• Build the initial automation framework, then recruit and mentor QA engineers who will embed within core squads.

• Create a hybrid quality model combining automation engineers, manual QA, and AI/ML quality specialists.

• Coach product, backend, platform, and SIS teams on adopting testing discipline and a quality-first engineering culture.

• Collaborate with product managers to define acceptance criteria, testable requirements, and automated validation expectations.

4. Drive Continuous Quality Improvements

• Deploy monitoring systems that use ML to detect unusual financial patterns, data mismatches, or reliability risks

• Improve accuracy and reliability across complex financial workflows:

• Reconciliation.

• Invoicing.

• Advances/disbursements.

• Payment application.

• Implement predictive analytics to identify failure risks before they impact customers

• Build feedback loops where production incidents automatically feed into new test generation.

• Reduce production issues, improve uptime, and rebuild customer trust with AI-enhanced reliability.

Required Qualifications

• 7+ years of backend engineering experience

• 3+ years in payments, financial systems, or high-accuracy data workflows

• Strong hands-on expertise in Python, Node.js, or similar backend languages

• Deep experience with relational databases (PostgreSQL, MySQL) and data integrity patterns

• Understanding of event-driven architecture, message queues, and asynchronous processing

• Experience integrating with payment providers, banks, or financial APIs

• Strong debugging, root-cause analysis, and system design abilities

• Full professional proficiency in Spanish and English (written & spoken)

Preferred Qualifications

• Experience with Latin American payment methods (OXXO, PSE, SPEI, Banred, etc.)

• Familiarity with electronic invoicing systems and country-specific tax requirements

• Experience with reconciliation platforms (e.g., Simetrik)

• Background in high-throughput, mission-critical systems processing large financial volumes

• Knowledge of accounting, ERP, or financial data models

• Experience contributing to QA automation, observability, or reliability engineering

• Experience working with AI, ML pipelines, or AI-assisted validation systems

Why Join

• Play a foundational role in stabilizing and modernizing one of the most critical product areas

• Architect complex, high-impact systems that power the financial backbone of thousands of schools

• Collaborate with world-class engineering, product, and AI teams

• Directly influence reliability for millions of tuition transactions each year

• Remote-first culture with autonomy, ownership, and career growth

• Opportunity to shape LATAM’s most important education-fintech infrastructure

• Career growth opportunities as product, engineering, and the platform explode

Location: Flexible
Travel: Occasional travel to Mexico City for team onsite sessions

If you live for turning financial chaos into boring perfection and want your code to keep thousands of schools open, send your CV now. ⚡