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Global Software Solutions Group

RTS- Kafka Engineer

Reposted 3 Hours Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level
The RTS Kafka Engineer will design and maintain scalable real-time streaming platforms, optimizing Kafka-based solutions, and collaborate with teams for efficient data processing in cloud environments.
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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.

Top Skills

Apache Kafka
Argocd
AWS
Docker
Elk
Git
Grafana
Jenkins
Kubernetes
Azure
Oracle Cloud Infrastructure (Oci)
Prometheus

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