Description

Key Responsibilities:
Design and develop real-time transaction processing systems with end-to-end latency requirements below 300 milliseconds.
Build highly resilient and scalable architectures capable of enriching transactions from approximately 10+ on-premises and cloud-based data sources.
Develop and maintain event-driven streaming solutions using:
Apache Kafka
Apache Flink
Kong API Gateway
Build and support real-time integrations using:
AWS Glue
AWS Lambda
Amazon EventBridge
HVR (Five Tran HVR)
Design, build, and consume high-performance REST APIs using .NET/.NET Core.
Implement resilient messaging, event processing, monitoring, and fault-tolerant patterns.
Collaborate with cloud, infrastructure, and security teams to ensure scalability and reliability.
Optimize system performance to meet stringent SLAs and low-latency requirements.

Required Technical Skills

Real-Time Processing

Proven experience building real-time distributed systems.
Demonstrated experience delivering transaction round-trip times under 300 milliseconds.
Experience enriching transactions using multiple internal and external data sources.

Streaming & Messaging

Apache Kafka
Topic design
Consumer groups
Stream processing
Custom Kafka business logic
Apache Flink
Stateful stream processing
Event-time processing
Windowing
Low-latency data pipelines

API & Integration Technologies

Kong API Gateway
REST APIs
Microservices Architecture
.NET / .NET Core / C#

AWS Technologies

AWS Glue
AWS Lambda
Amazon EventBridge
Cloud-native event-driven architectures
Integration between on-premises and cloud platforms

Data Replication & Integration

HVR (High Volume Replication/Fivetran HVR)
Real-time data synchronization and replication strategies

Security & Network Intelligence Requirements

The candidate should possess experience in:

IP reputation and risk analysis
Identifying and classifying traffic originating from:
TOR networks
Proxy servers
VPN services
Fraud detection or cybersecurity-related enrichment services
Integration of threat intelligence and geolocation services into transaction workflows

Preferred Qualifications
Experience in payments, fintech, banking, fraud prevention, or risk management systems.
Experience operating systems with high transaction volumes and strict SLA requirements.
Strong understanding of resiliency patterns, fault tolerance, and distributed architectures.
Knowledge of observability, monitoring, and performance tuning

Key Skills

Education

Bachelor's degree