A leading financial services institution based in the U.S. is currently seeking an experienced Senior Cloud Developer to join their Fraud Services Team. The team is focused on designing and implementing a state-of-the-art real-time fraud detection solution leveraging Confluent Kafka and Microsoft Azure technologies. This is a great opportunity to contribute to a critical initiative within the fraud detection space and work with cutting-edge cloud technologies.
About the Opportunity:
Schedule: Monday to Friday
Hours: 8am to 4:30pm (EST)
Responsibilities:
The Senior Developer - Real-Time Fraud Detection will be responsible for:
Designing and building highly scalable, real-time applications for event ingestion and processing using Confluent Kafka and Azure technologies
Providing technical leadership, mentorship, and guidance to team members on best practices for developing streaming applications and operating within a cloud environment
Collaborating with cross-functional teams (including engineers, system integrators, and product analysts) to ensure smooth integration and alignment with NFCU's security and enterprise standards
Identifying and mitigating risks during the project lifecycle, proactively addressing issues before they impact delivery
Developing clear and concise technical documentation to support internal teams and external stakeholders
Supporting deployment, post-deployment warranty periods, and providing ongoing operational support for the system
Assisting the functional and performance testing teams to ensure the developed solution meets both functional and non-functional requirements
Qualifications:
12+ years of experience in Software Development, with 5+ years in designing and implementing solutions on the Microsoft Azure Cloud platform
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent work experience)
Expertise in Confluent Kafka or similar message-oriented middleware/streaming technologies (e.g., Azure Event Hub)
Strong programming experience in Java
Deep knowledge of Azure Functions, Durable Functions, Azure Logic Apps, and related Azure services
Hands-on experience configuring Azure Event Hub, Event Grid, and Cosmos DB or similar NoSQL databases
Solid understanding of Cloud Architecture, including load balancing, auto-scaling, monitoring, and networking within Azure
Solid problem-solving skills
Great communication and interpersonal skills
Desired Skills:
Prior experience in Fraud Detection within the Financial Services industry
Familiarity with the FeatureSpace ARIC Risk Hub platform or similar fraud detection systems
Experience with other Event-driven or Streaming platforms and Cloud-Native technologies