Summary
Armand Naudé is a senior backend engineer with 11+ years building data-heavy, production-grade Python microservices that turn messy real-world inputs into reliable customer-facing insights. At PredictHQ he operates ingestion and processing pipelines handling 15M+ events/year and delivering ~6M normalized records that power ~3M client requests/month, with a strong emphasis on validation, deduplication, and operational reliability. He brings end-to-end ownership—from architecture and design to observability, incident response, and runbooks—and mentors teams to prefer steady improvements over heroic firefighting. His background spans analytics architecture for digital banking, big-data systems, and applied ML where it materially improves product outcomes. Based in Auckland but experienced across South African and fintech landscapes, he’s increasingly focused on agent patterns and agentic engineering to automate complex operational workflows. Practical, pragmatic, and data-quality obsessed, he excels at making distributed systems observable and maintainable at scale.
11 years of coding experience
12 years of employment as a software developer
Certified Harmonic Trader, Trading, Certified Harmonic Trader, Trading at FXGW - Scott M. Carney Harmonic Trading Course
Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at University of Pretoria
English, Afrikaans