Integration Engineer

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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Role: Engineer

Desired skills: Core JAVA

Experience: 8 - 12 Years

Job function: TECHNOLOGY

Location: Irvine, CA

Salary range: $110,000–$140,000

Apply by: 2026-09-26 00:00:00