Senior Backend Engineer — Real-Time Fraud & Risk

Bvnk Ltd; South Africa; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid/Remote policy

Open and collaborative culture

Job summary

BVNK is seeking a Senior Software Engineer (Backend) to join the Fraud engineering team. You will design and build backend systems for fraud detection across the customer journey, delivering real-time risk decisions and integration with multiple data streams.

You’ll work with Fraud Operations, Financial Crime, Data, Product and other engineering teams in small autonomous squads. You will contribute to architecture decisions, own production services, and help shape the engineering culture while

Qualifications

• Backend engineer with production systems experience using Java and Spring Boot.
• Experience building distributed, real-time risk and fraud detection systems.
• Comfort with large event-driven data volumes and pipeline development.
• Experience integrating with third-party APIs and webhooks.

Responsibilities

• Design, build and maintain secure, scalable backend services and APIs for fraud detection and risk controls.
• Develop low-latency real-time decisioning for onboarding, login, payments and card activity.
• Ingest and enrich device, session, behavioural and transaction data with third‑party providers.
• Implement risk-based controls (limits, velocity checks, MFA, blocks) to deter fraud.
• Monitor pipelines, alerts, and reliability; collaborate with data/ML teams to productionize models.

Skills

Java Spring Boot

Microservices

Real-time systems

Data pipelines

API integrations

Cloud AWS

CI/CD

Security best practices

Ownership & communication

AI-native mindset

Fraud & risk domain

Rules engines/ML production

Cards & payments

Digital assets

Tools

Kafka

Job description

BVNK is seeking a Senior Software Engineer (Backend) to join the Fraud engineering team. You will design and build backend systems for fraud detection across the customer journey, delivering real-time risk decisions and integration with multiple data streams.

You’ll work with Fraud Operations, Financial Crime, Data, Product and other engineering teams in small autonomous squads. You will contribute to architecture decisions, own production services, and help shape the engineering culture while