Required Skills

Java Architect Core Java with SpringBoot and integration frameworks (messaging and streaming) such as Kafka Apache Kafka including broker setup topic management partitioning strategies Avro Protobuf JSON Bash Python Docker Kubernetes CI/CD pipelines Terraform Prometheus Grafana Elasticsearch Logstash Kibana

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 30th Aug 2025

JOB DETAIL

 

• Kafka Cluster Management: Design, deploy, and manage Apache Kafka clusters, ensuring high availability, scalability, and fault tolerance.
• Data Streaming Architecture: Develop and maintain real-time data streaming solutions using Kafka, Kafka Streams, and related technologies.
• Performance Optimization: Monitor and optimize Kafka clusters for performance, including tuning brokers, topics, partitions, and configurations.
• Security and Compliance: Implement and manage Kafka security measures, including encryption, authentication, and authorization, to ensure data integrity and compliance with industry standards.
• Integration: Work closely with application developers, data engineers, and DevOps teams to integrate Kafka with other systems and services.
• Monitoring and Alerts: Use tools such as Prometheus, Grafana, and Kafka Manager to set up monitoring, logging, and alerting for Kafka clusters.
• Troubleshooting and Support: Diagnose and promptly resolve issues related to Kafka performance, connectivity, and data processing.
• Documentation: Create and maintain detailed documentation for Kafka configurations, processes, and best practices.
• Innovation and Improvement: Stay up-to-date with the latest developments in Kafka and related technologies, proposing improvements and new solutions as appropriate.
• Proven experience with distributed systems, data streaming, and event-driven architectures.
• Experience with Kafka Streams, KSQL, and other Kafka ecosystem tools.
• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) is a plus.

Company Information