Java Kafka Developer
Job in
Hanover Township, Morris County, New Jersey, USA
Listed on 2026-02-16
Listing for:
AI AXISS INC
Full Time
position Listed on 2026-02-16
Job specializations:
-
Software Development
Software Engineer, Java Developer, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Job Summary
Mode Of Interview 2nd Round Will Be In-Person
We are looking for an experienced Java Kafka Developer to design, develop, and maintain real-time streaming applications using Apache Kafka in the banking and financial services domain
. You will work on high-throughput, low-latency systems for payments, transactions, risk analysis, and regulatory reporting.
- Develop and maintain Kafka producers, consumers, and stream processing applications using Java
- Implement event-driven architectures and real-time data pipelines
- Ensure high availability, fault tolerance, and low latency in financial data streaming
- Integrate Kafka with core banking systems, payment gateways, and downstream services
- Implement data governance, audit trails, and security compliance for financial transactions
- Optimize Kafka clusters for performance, scalability, and reliability
- Troubleshoot and resolve production issues and monitor system health
- Collaborate with backend, data, risk, and compliance teams
- Follow secure coding practices and financial industry standards
Skills & Qualifications
- Strong hands-on experience with Apache Kafka (Kafka Streams, Kafka Connect, ksql
DB) - Proficient in Java (8+) with solid OOP and multithreading concepts
- Experience in designing, developing, and maintaining event-driven microservices
- Strong understanding of distributed systems and messaging patterns
- Knowledge of banking/financial transaction processing is highly desirable
- Experience with REST APIs, JSON, Avro, Protobuf
- Understanding of Kafka security (SSL/TLS, SASL, ACLs) and encryption
- Good knowledge of Linux, shell scripting, and basic networking
- Experience with Confluent Platform & Schema Registry
- Exposure to cloud platforms (AWS MSK, Azure Event Hubs, GCP Pub/Sub)
- Knowledge of Docker, Kubernetes, CI/CD pipelines
- Familiarity with stream processing frameworks (Flink, Spark Streaming)
- Monitoring and alerting tools (
Prometheus, Grafana, ELK stack
)
- Experience in payments, trading systems, lending, or core banking applications
- Understanding of transaction guarantees, reconciliation, and settlement
- Familiarity with regulatory compliance (PCI-DSS, SOX, AML/KYC)
- Handling high-volume, low-latency transaction data streams
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
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