Staff Engineer - Money, Risk & Payment Ancillaries
New
J
JobgetherFintech, Payments
FranceFull-TimeStaff
Salary not disclosed
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Job Details
- Languages
- Advanced written and spoken English communication skills.
- Required Skills
- AWSKafkaKotlinGoCI/CDDistributed SystemsRisk Management
Requirements
- Extensive software engineering experience with deep expertise in Go and/or Kotlin.
- Proven experience architecting robust, scalable, and maintainable distributed systems, particularly event-driven, high-throughput, and low-latency platforms.
- Hands-on experience developing financial, payments, or risk-critical systems where correctness, consistency, reliability, and auditability are essential.
- Strong knowledge of AWS and cloud-native services such as RDS, ECS, EKS, S3, and related infrastructure.
- Excellent automated testing practices covering unit, integration, and end-to-end testing within Agile, DevSecOps, and CI/CD environments.
- Demonstrated technical leadership experience, including mentoring engineers and leading complex cross-team initiatives.
- Strong architectural judgment with the ability to balance reliability and compliance with delivery speed.
- Advanced written and spoken English communication skills.
- Experience with fraud or risk scoring, ML feature pipelines, double-entry ledgers, reconciliation systems, chargebacks, disputes, or authorized push payment scam prevention is highly valuable.
- Experience with data-intensive and streaming technologies such as Kafka, exactly-once processing, or event sourcing is preferred.
Responsibilities
- Own the technical architecture and direction across risk, fraud, scams, money operations, reconciliations, and chargebacks, establishing scalable APIs, event-driven patterns, and engineering standards.
- Architect and develop low-latency, real-time systems that evaluate and respond to transaction risk and fraud before or during authorization.
- Design reliable money movement and reconciliation capabilities using strong consistency, idempotency, exactly-once processing, and auditable ledger principles.
- Build platforms supporting scam prevention, disputes, representment, and chargeback workflows while aligning systems with applicable regulatory and card-network requirements.
- Engineer highly available, resilient, secure, and compliant systems where reliability and financial accuracy cannot be compromised for feature velocity.
- Champion a "You Build It, You Run It" approach, ensuring services are designed for multi-tenancy, elastic scaling, automated observability, and reliable production ownership.
- Use AI-assisted engineering tools fluently across architecture, coding, testing, review, and operational workflows, while helping shape effective AI adoption across engineering teams.
- Mentor engineers, raise technical standards, and provide guidance on architecture, engineering practices, system reliability, and delivery.
- Partner with Product, Data/ML, Compliance, and Staff Engineers to deliver complex initiatives spanning multiple technical and business domains.
- Drive technical execution through strong engineering practices, measurable outcomes, DORA metrics, and proactive removal of technical or organizational blockers.
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