Kafka Engineer, Streaming
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Job Description
Kafka and streaming engineer developing Java, Flink, and Confluent solutions for client integrations. Designing, deploying, testing, and supporting event-driven applications.
Responsibilities:
- Develop, improve, and support solutions in the streaming integration domain
- Develop Kafka-based applications for clients
- Perform intermediate- to low-level design and development within established architecture patterns
- Participate throughout the software development lifecycle, including design, development, testing, and deployment
- Perform detailed design of solution components in event-driven architecture solutions
- Work with architects to understand context, patterns, technology choices, and integrations
- Design and develop event schemas and document designs based on business and technical requirements
- Work with clients to understand detailed requirements and identify gaps
- Provide solution feedback to the architecture team
- Design Kafka topics and configurations
- Develop Java microservices and applications
- Develop Apache Flink streaming applications
- Configure and deploy connectors integrating with external systems
- Support deployment and testing using Kubernetes, CI/CD, and deployment/configuration platforms
- Analyze and address bugs
- Design and implement infrastructure considering reliability, availability, durability, and performance
- Translate business requirements into technical designs and development plans
- Perform unit and integration testing and validate results with stakeholders
- Troubleshoot data issues, defects, and performance bottlenecks
- Provide ongoing production support and enhancements
Requirements:
- At least three (3) years of Information Technology-related work experience in an integration-focused Java development role
- Strong experience with source code management, such as Git
- Experience with Java build concepts and tooling, such as Gradle and Maven
- Strong capabilities in Spring Boot
- Strong experience with Kafka and the Confluent Platform
- Experience with Java-Kafka integrations using Kafka-Client and/or Kafka-Streams
- Experience with Kafka Connect and Flink
- Experience with Avro
- Understanding of event-driven architecture (EDA) concepts
- Bachelor’s Degree preferred
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift up to 15 pounds at times
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