Job description
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 Strong 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.
This job post has been translated by AI and may contain minor differences or errors.
