Senior Software Engineer (Backend) – Fraud

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SeniorZdalnieFull-time

#473182·Dodano wczoraj·1

Źródło: BVNK

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Tech Stack / Keywords

Java Spring Boot Kafka AWS CI/CD microservicesevent-driven architecturesAPIswebhooks3DS

Podsumowanie oferty

Senior backend engineer joining the Fraud engineering team to build systems that detect and prevent fraud across onboarding, account activity, payments and card transactions. The role focuses on real-time risk decisions, using Java and Spring Boot.

Wymagania

Required:

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 a similar messaging platform.
Experience building systems where low latency, correctness, idempotency and auditability matter.
Comfortable working with large volumes of event and transaction data and building pipelines that turn raw signals into decisions and insight.
Experience integrating third-party APIs and webhooks, including handling failures, retries and data quality.
Experience with cloud platforms, preferably AWS, containerisation and CI/CD pipelines.
Solid understanding of secure coding practices and handling sensitive data in regulated environments.
Ability to take ownership of outcomes and communicate with technical and non-technical stakeholders.
Uses AI tools and agentic workflows to speed up delivery and improve quality.

Nice to have:

Experience building fraud detection, transaction monitoring, risk scoring or account takeover prevention systems.
Experience with rules engines or putting ML 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.

Obowiązki

Fraud platform development:

Design, build and maintain secure, scalable backend services and APIs for fraud detection, risk decisioning and controls.

Real-time decisioning:

Build low-latency services to assess risk and approve, decline or challenge activity in real time, including card authorisations and payments.

Signal and data enrichment:

Ingest and enrich device, session, behavioural and transaction data, and integrate it with third-party fraud and risk providers.

Controls and friction:

Build risk-based controls such as limits, velocity checks, blocks and step-up challenges, including MFA or liveness checks.

Monitoring and alerting:

Deliver data pipelines, metrics and alerting to measure fraud, tune rules and respond to new attack patterns.

ML and AI enablement:

Work with data and ML colleagues to put machine learning models and AI-assisted workflows into production.

Cross-domain collaboration:

Work with Fraud Operations, Financial Crime, Cards, Payments and Data teams to deliver features end to end.

Technical leadership:

Contribute to architecture decisions, review code, mentor engineers and help shape the engineering culture of a growing team.

Operational excellence:

Own services in production, including monitoring, incident response and continuous improvement of reliability and performance.

Benefity

Flexible working hours.
A flexible approach to holiday.
Opportunities to travel to offices around the world.

Elastyczne godziny

BVNK

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