Fintech platform with in-house ML and credit card infrastructure
Honest operates a financial products platform built on Go, PostgreSQL, Kafka, and Kubernetes — a mature, polyglot microservices stack. Active ML projects (platform development, model versioning, production monitoring) suggest a shift from outsourced ML toward in-house capability, while simultaneous accounting consolidation and 5-year projection work signal operational scale-up. Hiring is accelerating across engineering and finance, with a steep seniority mix (3 junior, 3 senior, 1 lead) — typical of a fintech scaling from product-market fit into infrastructure and compliance phases.
Honest builds financial products for consumers and SMEs in Southeast Asia, headquartered in Jakarta with operations spanning Indonesia, Thailand, and Singapore. The platform includes credit card services and underlying payment infrastructure. The tech foundation is cloud-native (GCP, AWS, BigQuery) with strong emphasis on system reliability, monitoring, and data pipelines. Current focus extends beyond product engineering into financial operations — migrating accounting in-house and building multi-year financial modeling — indicating a maturing organization.
Go, PostgreSQL, MySQL, Kafka, RabbitMQ, Docker, Kubernetes, Python, GCP, BigQuery, and AWS. The stack reflects microservices architecture with message queueing and containerized deployment.
Credit card platform backend, internal ML platform, data pipeline and model versioning, production model monitoring, system monitoring and alerting, and transitioning accounting from outsourced to in-house operations.
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