RTS- Kafka Engineer (Chennai)

Job Summary We are looking for a highly skilled RTS Kafka Engineer to design, build, and maintain scalable real-time streaming platforms. The ideal candidate will have strong hands-on experience with Apache Kafka, cloud-native architectures, and event-driven systems operating in high-throughput environments. This role involves building reliable streaming pipelines, enabling real-time data processing, and supporting cloud-based distributed systems. Key Responsibilities - Design, implement, and manage Kafka-based real-time streaming solutions in high-throughput environments. - Perform Kafka setup, configuration, tuning, and performance optimization. - Develop and maintain scalable event-driven and streaming architectures. - Build and manage streaming data pipelines processing large-scale datasets. - Implement CI/CD pipelines using tools such as Git, Jenkins, ArgoCD, or similar platforms. - Work with cloud-native applications deployed across AWS, Azure, or OCI environments. - Automate infrastructure and deployment using cloud automation toolsets. - Apply GitOps practices for deployment and environment management. - Ensure system reliability, scalability, and high availability. - Implement automated unit testing and integration testing for streaming applications. - Collaborate with DevOps, platform engineering, and application teams to deliver end-to-end real-time solutions. - Apply software design patterns and best practices in distributed systems development. Required Skills & Qualifications - Solid hands-on experience with Apache Kafka setup, configuration, and administration. - Experience working with high-volume streaming data platforms. - Solid understanding of event-driven architecture and distributed systems. - Experience with source control systems (Git). - Hands-on exposure to CI/CD pipelines (Jenkins, ArgoCD, or similar). - Experience with at least one public cloud platform: - AWS - Microsoft Azure - Oracle Cloud Infrastructure (OCI) - - Knowledge of cloud automation tools and infrastructure automation. - Understanding of GitOps methodology. - Strong knowledge of software design patterns and implementation practices. - Experience implementing automated testing (unit & integration testing). Preferred Qualifications - Experience with Kafka ecosystem tools (Kafka Connect, Schema Registry, ksqlDB). - Exposure to containerization and orchestration platforms (Docker, Kubernetes, OpenShift). - Experience with monitoring and observability tools (Prometheus, Grafana, ELK, etc.). - Background in real-time systems (RTS) or financial transaction platforms is a plus. .