Design and build end-to-end billing data pipelines, from event ingestion to analytical storage.
Develop backend services and APIs handling validation, processing, and billing logic in distributed systems.
Implement event-driven architectures with strong guarantees around idempotency and financial consistency.
Design data models and storage strategies that support both high-throughput ingestion and efficient querying.
Build data processing jobs that enrich usage data with pricing, entitlements, and cost calculations.
Implement reconciliation and validation mechanisms to ensure data accuracy across systems.
Integrate billing systems with external financial platforms such as payment providers and accounting systems.
Build observability into pipelines and services, ensuring visibility into data freshness, throughput, and correctness.

5+ years of experience in backend engineering and/or data engineering within complex systems
Strong experience with Golang and building distributed, event-driven systems
Experience working with message buses such as Kafka, Pub/Sub or similar
Hands-on experience with data processing frameworks and building ETL/ELT pipelines
Strong database knowledge across both relational and NoSQL systems, and understanding of consistency trade-offs
Experience designing data models and handling schema evolution in large-scale systems
Familiarity with Kubernetes and cloud-native infrastructure
Understanding of financial systems, billing, or accounting principles is a strong plus.

Software Engineer – Billing Platform

Key skills