Senior Backend Engineer specializing in Go, distributed systems, and microservices. I design and operate high-performance backend systems — from event-driven architectures with Kafka to cloud-native deployments on GCP and Kubernetes.
Senior Backend Engineer with 6+ years of experience building scalable, high-performance distributed systems. Proven technical lead at Majoo Indonesia — led a 10-engineer team, architected a full monolith-to-microservices migration on GCP, and reduced production incidents by 75%. Deep expertise in Go, Python, REST/gRPC API design, database performance tuning, and security best practices. Currently engineering a ~1 billion record search platform at Cofounderie (London, UK, remote).
Offline-capable POS sounds great until thousands of transactions sync simultaneously and your stock goes negative. Here's how we redesigned COGS calculation to handle it correctly.
Separating services is only half the work. The harder part is splitting the database, migrating the data, and managing feature flags that gate both code changes and data changes simultaneously.
When thousands of offline POS devices come back online simultaneously and flood your API, you need more than a queue. Here's why we landed on Kafka after trying RabbitMQ and Redis Pub/Sub.