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Integration Engineer

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irvine, ca • Posted 3 days ago
Onsite Full Time IT & Technology

Job Description


Integration Engineer


Must Have Technical/Functional Skills


Java, Kafka & Streaming


Roles & Responsibilities


We are seeking a highly skilled Integration Engineer with strong experience in Java, Apache Kafka, and real-time streaming technologies to design, develop, and support scalable integration solutions. The ideal candidate should have expertise in event-driven architectures, API integrations, distributed systems, and enterprise data streaming platforms. The role involves building high-performance integrations between various applications, data platforms, and cloud services while ensuring reliability, scalability, and security.



  • Design, develop, and maintain scalable integration solutions using Java, Spring Boot, Apache Kafka, and streaming technologies.

  • Build and support real-time event-driven architectures to enable seamless data exchange across enterprise applications.

  • Develop high-performance Kafka producers, consumers, and stream processing applications.

  • Design and implement integration APIs, microservices, and messaging solutions to support business processes.

  • Create and manage Kafka topics, partitions, consumer groups, schema registries, and retention policies.

  • Develop and maintain real-time data pipelines for data ingestion, transformation, and distribution.

  • Ensure integrations meet performance, scalability, reliability, and security requirements.

  • Integrate enterprise systems, cloud platforms, databases, and third-party applications using APIs and messaging frameworks.

  • Develop RESTful services and event-based integration patterns to support application interoperability.

  • Implement data transformation, validation, and routing logic across integration flows.

  • Support batch and streaming data processing requirements.

  • Design and implement streaming solutions using Kafka Streams, Spark Streaming, or similar technologies.

  • Monitor and optimize Kafka clusters for throughput, availability, and fault tolerance.

  • Troubleshoot messaging, latency, and performance issues within streaming environments.

  • Implement dead-letter queues (DLQs), retry mechanisms, and fault-tolerant processing patterns.

  • Define topic strategies, partitioning schemes, and event schemas to support business requirements.

  • Develop and support CI/CD pipelines for integration and streaming applications.

  • Build containerized applications using Docker and deploy on Kubernetes/OpenShift platforms.

  • Automate deployment, monitoring, and operational processes.

  • Participate in infrastructure and environment provisioning activities.

  • Java, Spring Boot, Spring Cloud

  • Apache Kafka, Kafka Streams, Kafka Connect

  • Event-Driven Architecture (EDA)

  • REST APIs, JSON, XML

  • Microservices Architecture

  • Git, Jenkins, CI/CD

  • Docker, Kubernetes

  • SQL/NoSQL Databases

  • AWS/Azure Cloud Services

  • Monitoring tools such as Splunk, Grafana, ELK, and Prometheus


Salary Range- $110,000-$140,000 a year

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