About the role
About
the role: Forter is looking for a Staff Engineer to join our Core Engineering group. The group is responsible for the real-time, low-latency infrastructure that powers Forter’s fraud decisions and external APIs. Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale. In this role, you’ll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the world’s largest merchants. This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of Forter’s decisioning platform. What you'll be doing: Design, build, and scale backend systems that power Forter’s real-time decisioning and APIs. Own projects end-to-end - from design and implementation to production rollout and monitoring. Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments. Enhance observability, reliability, and developer experience through strong operational and tooling practices. Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across Forter’s decision ecosystem. Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations. What you'll need: 10+ years of experience building backend systems in large-scale production environments, with at least 2 years as a Staff Engineer or equivalent level Strong programming skills in Python, Java, Kotlin, or Node.js Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker) Proven ability to design and maintain high-scale distributed systems Strong sense of ownership, autonomy, and accountability Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences - including direct collaboration with customers worldwide It'd be cool if you also have: Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns Background working alongside data science or machine learning teams Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity
