Kafka Developer

Job Title: Kafka Developer

Location: Charlotte, NC (Hybrid 3 days onsite per week)

Duration: Long-Term Contract

Job Summary

Client is seeking a highly skilled Kafka Developer to join its Enterprise Data & Messaging team. This role will focus on designing, building, and maintaining real-time streaming applications leveraging Apache Kafka. The ideal candidate will have strong experience in Java, Spring Boot, microservices, and event-driven architecture, with a proven ability to deliver scalable, resilient, and high-performance data pipelines.

Key Responsibilities

• Design, develop, and maintain Kafka producers, consumers, streams, and connectors.
• Implement real-time data pipelines and event-driven microservices using Kafka and Spring Boot.
• Collaborate with architects and engineers to integrate Kafka solutions with core banking and enterprise applications.
• Manage and optimize Kafka clusters, ensuring scalability, high availability, and fault tolerance.
• Monitor and troubleshoot topics, partitions, consumer groups, and offsets to maintain system health.
• Apply best practices in security, compliance, and governance in BFSI environments.
• Work in Agile/Scrum teams, participate in sprint planning, and ensure CI/CD integration with GitHub, Jenkins, and Harness.

Required Skills

• 8 10 years of software development experience, with a strong focus on Java (Spring Boot, Microservices).
• 4+ years of hands-on Kafka experience (Kafka Streams, Connect, Schema Registry, Confluent or MSK). Strong expertise in event-driven architecture and messaging patterns.
• Solid knowledge of SQL/NoSQL databases and integration with streaming pipelines.
• Experience deploying on cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes). Familiarity with CI/CD tools (GitHub, Jenkins, Harness, UrbanCode).
• Excellent problem-solving and communication skills. Banking/Financial Services domain experience preferred.
• Nice to Have Exposure to Spark, Hadoop, or other big data ecosystems.
• Experience with monitoring tools (Datadog, Splunk, Prometheus). Kafka certification (Confluent or equivalent) is a plus.