Staff Engineer (Payments Performance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Engineer (Payments Performance): Designing and evolving systems that optimize payment performance across conversion, take rate, fraud prevention, and operational cost control with an accent on payment routing, real-time fraud decisioning, and anomaly detection. Focus on building scalable Java architectures and troubleshooting performance bottlenecks to ensure high stability and compliance.
Location: Barcelona / Madrid / Buenos Aires / Sao Paulo (Hybrid) / Montevideo (Hybrid)
Company
builds payment solutions and platforms focused on performance, routing, and risk controls.
What you will do
- Collaborate with technology leaders and product to translate department goals into technical solutions.
- Design, develop, and maintain Java applications and systems aligned with business objectives.
- Lead Java-based technical architecture to ensure scalability, performance, and maintainability.
- Optimize application performance (code, database queries, and resource utilization) and resolve system bottlenecks.
- Build and scale payment routing and real-time fraud decisioning systems using data and machine learning models.
- Run performance validation and monitoring, produce detailed performance reports, and conduct code reviews.
Requirements
- 7+ years of professional experience in Java development.
- Strong Java application development and software architecture experience.
- In-depth knowledge of object-oriented design principles and design patterns.
- Experience with Spring and Hibernate; event-driven architecture design experience.
- Experience monitoring production applications with telemetry tools (e.g., New Relic, Datadog, Grafana, Prometheus, Dynatrace, CloudWatch, ELK) and distributed logs.
- Upper-intermediate written and spoken English proficiency.
Nice to have
- Experience with cloud platforms such as AWS or GCP.
Culture & Benefits
- Flexible working style focused on impact and productivity over fixed hours.
- Self-managed focus time with in-person collaboration in hubs depending on role and location.
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