Teams at Infatica

Lead QA efforts across web/SaaS and high-load scraping/data/AI platforms. Perform manual and automated testing (Python, TypeScript), API and microservice validation, performance and observability-driven testing, integrate checks into CI/CD, and improve quality metrics and automated quality gates while diagnosing production incidents.

Own and evolve the Web Data Platform architecture; lead a team building browser automation, data collection, and large-scale distributed services; design for scalability, resilience, and observability; mentor engineers, run architecture and code reviews, and partner with Product and Infrastructure to deliver reliable production systems.

Own the end-to-end lifecycle of the company's SaaS/DaaS product: define strategy, requirements, SLAs, measure quality, validate ideas via prototyping, prioritize by customer value, and collaborate with engineering, design, and business stakeholders to launch and continuously improve AI/data-driven API products while ensuring security, privacy, and compliance.