Java Kafka Engineer

EXL•Pittsburgh, PA

About The Position

The Java Kafka Engineer designs, develops, and supports high-performance, event-driven applications. The role involves building Java enterprise applications with Spring Boot and microservices, developing and managing Apache Kafka systems, and integrating services through RESTful APIs. The engineer collaborates with architects, business analysts, and DevOps teams to deliver scalable, resilient solutions, and supports production systems through performance tuning and root-cause troubleshooting. The position also includes working with SQL and NoSQL databases, creating reusable code components, handling XML and JSON documents, and participating in code reviews, sprint planning, and production support within an Agile/Scrum environment. The base compensation range is $100,000–$130,000. Final compensation depends on factors including skills, experience, pay equity, work location, market conditions, and role scope; compensation may exceed the range in higher-cost locations.

Requirements

  • At least 8 years of hands-on experience as a Java developer, with strong Kafka expertise.
  • Strong knowledge of SQL and NoSQL databases, such as Oracle, PostgreSQL, and MongoDB.
  • Hands-on experience generating and parsing XML and JSON documents.
  • Familiarity with CI/CD pipelines, Git, and Maven or Gradle.
  • Experience working in Agile/Scrum environments.
  • Strong problem-solving and communication skills.

Responsibilities

  • Design, develop, and support high-performance, event-driven applications.
  • Design, develop, and maintain Java enterprise applications using Spring Boot and microservices architecture.
  • Build and manage Apache Kafka systems, including producers, consumers, topics, partitions, and schemas.
  • Collaborate with architects, business analysts, and DevOps teams to deliver scalable and resilient solutions.
  • Implement RESTful APIs and integrate with upstream and downstream systems.
  • Ensure high availability and fault tolerance, and tune the performance of Kafka and Java applications.
  • Build abstract, modularized, reusable code components.
  • Generate and parse XML and JSON documents.
  • Participate in code reviews, sprint planning, and production support activities.
  • Troubleshoot and resolve production issues, with a focus on root-cause analysis.
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