[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Irvine, CA # Integration Engineer Irvine, CA $110,000-$140,000 Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/424413J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Integration Engineer ## 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