Senior Software Engineer Backend Fraud

BVNK helps businesses integrate stablecoins into payment flows by providing enterprise-grade infrastructure for cross-border transactions.

Series BRecently funded0 current maintainers0 active leads
Delaware, United States
About BVNK

BVNK offers a licensed payments platform that bridges traditional payment rails with blockchain networks. Its APIs and dashboard let fintechs, marketplaces and other enterprises open virtual accounts, accept and send stablecoin payments, automate FX and orchestrate multi-rail transactions while meeting compliance requirements.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design and maintain secure backend services and APIs for fraud detection and real-time risk decisions. You will enrich device, behavioural, and transaction data; build controls and alerting; integrate third-party providers; and operate services in production. You will contribute to architecture, review code, mentor engineers, and deliver machine-learning-enabled workflows.

Requirements

  • Backend engineering experience with Java and Spring Boot.
  • Experience with microservices and event-driven architectures.
  • Experience with low-latency, high-integrity systems.
  • Experience handling large event and transaction-data volumes.
  • Experience integrating third-party APIs and webhooks.
  • Cloud-platform, containerisation, and CI/CD experience.
  • Secure coding knowledge.
  • Experience using AI tools and agentic workflows.

Responsibilities

  • Design, build, and maintain backend services and APIs for fraud detection and risk controls.
  • Build low-latency services for real-time risk decisions.
  • Ingest and enrich device, session, behavioural, and transaction data.
  • Integrate third-party fraud and risk providers.
  • Build risk-based controls, limits, velocity checks, blocks, and step-up challenges.
  • Deliver data pipelines, metrics, and alerting.
  • Put machine-learning models and AI-assisted workflows into production.
  • Contribute to architecture decisions, code reviews, and mentoring.
  • Own production monitoring, incident response, reliability, and performance.

Benefits

  • Flexible working hours.
  • Hybrid or remote working.
  • Flexible holiday approach.
  • Opportunities to travel to offices around the world.