À propos
Key Responsibilities • Design, develop, and optimize backend services for card payments and transaction systems, ensuring low latency, fault tolerance, and multi-region resiliency. • Build high-throughput APIs and microservices using modern Java frameworks (Spring Boot, Reactor). • Collaborate closely with product, architecture, and SRE teams to evolve Vision Next / VisionPLUS services for cloud-native, real-time scalability. • Use AWS services (ECS, Lambda, RDS, ) to architect resilient, secure, and observable applications. • Write efficient algorithms for transaction routing, settlement, reconciliation, or fraud-detection modules. • Contribute to system design sessions and architecture decisions, applying deep reasoning to scalability trade-offs, consistency models, and data partitioning. • Evaluate and optimize application throughput, concurrency handling, and API lifecycle management across multi-region clusters. • Implement DevOps and CI/CD automation for build, test, and deployment pipelines (GitHub Actions, Jenkins, or CodePipeline). • Mentor junior engineers, conduct code reviews, and drive engineering excellence through reusable design patterns.
Required Qualifications • Bachelor's or Master's degree in Computer Science or related field. • 7+ years of backend engineering experience in payments, fintech, or high-transaction enterprise systems. • Strong proficiency with Java / Spring Boot, data structures, algorithms, and system-level design principles. • Solid understanding of AWS core services and architectural best practices for scalable distributed systems. • Experience with multi-region, active-active, or near-real-time architectures for payment or settlement systems. • Deep debugging, profiling, and performance optimization skills in concurrent, distributed environments. • Strong analytical reasoning and data-driven problem-solving mindset.
Preferred Qualifications • Expertise in Python programming for backend development and automation. • Experience with Vision Next or VisionPLUS modules (CMS, ASM, or TRAMS) or other card processor platforms. • Familiarity with payment rails (Visa, Mastercard, RTP, ACH) and transaction lifecycle management. • Knowledge of Kafka, Redis, or Aerospike for event-driven processing and caching. • Exposure to container orchestration (ECS, EKS, or Kubernetes) and observability platforms (Grafana, Datadog, or OpenTelemetry). • Understanding of PCI-DSS, data encryption, and regulated financial data operations.
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.