Senior Java Kafka Real-Time Data Streaming Engineer

Robotic Technologies Automation; Atlanta (GA); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

ROBOTIC PROCESS AUTOMATION LLC in Atlanta is seeking an experienced Java engineer to design, develop, and maintain real-time data streaming applications using Java and Apache Kafka.

You will build Kafka-based pipelines, implement microservices, optimize performance, and ensure security/compliance across data streams. Strong knowledge of Kafka ecosystem and Spring is required.

This role collaborates with data engineering and operations to keep reliable, scalable streaming solutions in production.

Competenze

• Proficient in real-time data streaming with Java and Kafka.
• Experience building and maintaining Kafka-based pipelines.
• Strong understanding of microservices and data integration.

Mansioni

• Data pipeline development: Design, build, and maintain real-time data streaming pipelines using Apache Kafka and Java.
• Kafka application development: Develop and implement Kafka producer and consumer applications, including microservices.
• Integration: Integrate Kafka with various existing systems, databases, and data sources.
• Performance optimization: Monitor and troubleshoot Kafka cluster performance, topics, and brokers for efficiency and scalability.
• Maintenance and support: Support and upgrade existing Kafka implementations and troubleshoot issues.
• Security and compliance: Implement security measures to protect data streams and meet compliance standards.

Conoscenze

Core Java

Apache Kafka

Kafka Streams

Microservices

Databases

Strumenti

Spring Boot

JPA

ZooKeeper

Schema Registry

Descrizione del lavoro

ROBOTIC PROCESS AUTOMATION LLC in Atlanta is seeking an experienced Java engineer to design, develop, and maintain real-time data streaming applications using Java and Apache Kafka.

You will build Kafka-based pipelines, implement microservices, optimize performance, and ensure security/compliance across data streams. Strong knowledge of Kafka ecosystem and Spring is required.

This role collaborates with data engineering and operations to keep reliable, scalable streaming solutions in production.