Integration Engineer

Tata Consultancy Services; Irvine (CA); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Tata Consultancy Services Limited in Irvine, CA seeks an Integration Engineer to build backend services with Java Spring Boot, Kafka, and cloud deployments.

You will design real-time data pipelines, RESTful APIs, and event-driven integrations, while ensuring performance, security, and scalable deployments on AWS, Docker, and Kubernetes.

Join a team building cross-system integrations across enterprise apps, with CI/CD and modern data streaming technologies.

Qualificações

• Design, develop, and maintain scalable integration solutions using Java, Spring Boot, Kafka, and streaming tech.
• Build real-time event-driven architectures enabling seamless data exchange across enterprise apps.
• Develop high-performance Kafka producers, consumers, and stream processing apps.
• Create RESTful APIs and integration patterns for interoperability across systems.
• Implement data transformation, routing, DLQs, retries, and fault-tolerant processing.

Responsabilidades

• Design and implement streaming solutions using Kafka Streams or Spark Streaming.
• Monitor Kafka clusters for throughput, availability, and fault tolerance.
• Build containerized apps with Docker and deploy on Kubernetes/OpenShift.
• Support batch and streaming data processing requirements.
• Define topic strategies, partitions, and schemas for event data.
• Develop and support CI/CD pipelines for integration apps.

Conhecimentos

Java

Spring Boot

Hibernate/JPA

JDBC

PostgreSQL

Spring Batch

REST API

Kafka

SQS

AWS

Kubernetes

OpenShift

CI/CD

Docker

Concurrency

Ferramentas

Kafka

Docker

Kubernetes

OpenShift

Git

Jenkins

CI/CD pipelines

Grafana

Prometheus

ELK

Splunk

Spark Streaming

Kafka Streams

Schema Registry

Descrição da oferta de emprego

We are seeking a highly skilled Integration Engineer building backend services using Java Spring Boot , Hibernate/JPA, JDBC, PostgreSQL/any equivalent DB , Spring batch/bulk data processing, Concurrency, REST API , Event driven integrations (Kafka/SQS), AWS and devOps skills to deploy services in EKS

• 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
• REST APIs, JSON, XML
• Git, Jenkins, CI/CD
• SQL/NoSQL Databases
• Monitoring tools such as Splunk, Grafana, ELK, and Prometheus