Required Skills & Experience
We are seeking a QA Engineer with experience validating data pipelines and AI systems, with a strong eye for both technical and business correctness.
- Experience testing data pipelines, API integrations, and reporting outputs
- Ability to validate software behavior, data correctness, and business logic simultaneously
- Experience building test cases for retry flows, escalation paths, schema drift, DQ checks, review queues, and NL query outputs
- Strong UAT coordination skills with business and technical stakeholders
- Ability to test AI-assisted systems with acceptance thresholds, golden datasets, and exception handling
Funciones
We collaborate with cross-functional teams to ensure that data products, AI workflows, and reporting outputs meet quality and acceptance standards before release.
- Test data pipelines, API integrations, and reporting outputs for correctness and business logic compliance
- Build test cases covering retry flows, escalation paths, schema drift scenarios, DQ checks, review queues, and NL query outputs
- Validate AI-assisted systems against acceptance thresholds, golden datasets, and exception handling criteria
- Lead UAT coordination with business stakeholders
- Contribute to quality standards and release processes across the full data and AI platform
Deseable
- Experience with benchmark datasets and evaluation methods for AI/NL query accuracy
Beneficios
- Paid vacations for 20 days after one year
- Referrals program and finder's fee rewards
- Training and certification programs
- Work from home aid
- English classes
- Access to a fitness program
- Profit sharing
- Coaching sessions for personal development
We're looking forward to working together! 🚀