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BVNK

Cross-border payments platform with digital assets

Senior Backend Software Engineer - Fraud

Backend EngineeringConfirmed live in the last 24 hours
Full-time€70k - €480k

About the Job

Requirements

  • Strong, proven experience as a backend engineer building production systems in Java with Spring Boot.
  • Hands-on experience with microservices and event-driven architectures, ideally with Kafka or similar messaging platforms.
  • Experience building systems where low latency, correctness, idempotency, and auditability matter.
  • Comfort working with large volumes of event and transaction data and building pipelines that turn raw signals into decisions and insight.
  • Experience integrating with third-party APIs and webhooks, including handling failures, retries, and data quality.
  • Experience with cloud platforms, preferably AWS, containerisation, and CI/CD pipelines.
  • A solid grasp of secure coding practices and handling sensitive data in regulated environments.
  • Take ownership of outcomes, communicate clearly with technical and non-technical stakeholders, and work effectively in a fast-moving environment building from scratch.
  • Use AI tools and agentic workflows to speed up delivery and improve quality.

Responsibilities

  • Design, build, and maintain secure, scalable backend services and APIs that power fraud detection, risk decisioning, and controls.
  • Build low-latency services that assess risk and approve, decline, or challenge activity in real time, including card authorisations and payments.
  • Ingest and enrich device, session, behavioural, and transaction data, and integrate it with third-party fraud and risk providers to build a full risk profile.
  • Build risk-based controls such as limits, velocity checks, blocks, and step-up challenges (e.g. MFA or liveness) that stop fraud while keeping legitimate customers moving.
  • Deliver data pipelines, metrics, and alerting that let the business measure fraud, tune rules, and respond quickly to new attack patterns.
  • Work with data and machine-learning colleagues to put machine-learning models and AI-assisted workflows into production.
  • Work with Fraud Operations, Financial Crime, Cards, Payments, and Data teams to deliver features end to end.
  • Contribute to architecture decisions, review code, mentor other engineers, and help shape the engineering culture of a growing team.
  • Own services in production, including monitoring, incident response, and continuous improvement of reliability and performance.

Desired Qualifications

  • Experience building fraud detection, transaction monitoring, risk scoring, or account takeover prevention systems.
  • Experience with rules engines or putting machine-learning models into production for real-time decisioning.
  • Experience with card authorisation flows, 3DS, chargebacks, or payment rails such as Faster Payments, SEPA, or ACH.
  • Experience with stablecoins, crypto, or blockchain-based payments.

About the Company

BVNK

Cross-border payments platform with digital assets

BVNK provides a fintech platform for global business payments and cross-border liquidity. It lets growing businesses move money quickly without pre-funding and pay suppliers, improving cash flow, and it supports digital assets so companies can use digital currencies without holding them on their balance sheets. A low-code hosted payments page lets businesses add new payment methods to checkouts, while the platform handles cross-border settlement with reliable reporting and transparent pricing. BVNK focuses on no-prefunding liquidity, easy digital asset integration, and clear onboarding in emerging markets to help clients expand deposits and enter new jurisdictions, earning revenue from transaction fees and possible subscriptions.

Company size
201-500
Company stage
Acquired
Total funding
$90M
Headquarters
London, United Kingdom
Founded
2021

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