Technology Engineer - Redis & Streaming Platforms

About the role

We are looking for a highly skilled Technology Engineer with strong expertise in Redis, Kafka, and Cloud-native platforms to join the Technology Engineering team at ENBD. The ideal candidate will be responsible for building, managing, and scaling high-performance data platforms and streaming architectures in a cloud-native environment. Key Responsibilities Design, implement, and manage Redis (Enterprise & Open Source) clusters for high availability and performance. Set up and configure Apache Kafka for high-throughput, low-latency data streaming use cases. Build and maintain CI/CD pipelines using tools such as Jenkins, ArgoCD, and Git-based workflows. Deploy and manage applications on OpenShift / Kubernetes platforms. Work with large-scale streaming datasets and ensure optimal data flow and processing. Implement and manage cloud infrastructure across AWS, Azure, and OCI environments. Drive automation using cloud-native toolsets and Infrastructure as Code (IaC). Contribute to event-driven architecture and microservices-based system design. Apply best practices in GitOps, DevOps, and platform engineering . Ensure system reliability, scalability, and performance through monitoring and optimization. Required Skills & Qualifications Strong hands-on experience with Redis (RTS preferred) cluster setup and administration. Proven experience with Apache Kafka in high-throughput production environments. Expertise in CI/CD tools (Jenkins, ArgoCD, Git). Hands-on experience with OpenShift / Kubernetes container platforms. Exposure to Public Cloud platforms : AWS, Azure, and/or Oracle Cloud (OCI). Strong understanding of event-driven and streaming architectures . Experience working with large-scale distributed systems and data platforms . Familiarity with GitOps practices and cloud automation tools . Good knowledge of software design patterns and their practical implementation. Good to Have Experience with Infrastructure as Code (Terraform, Ansible, etc.) Knowledge of monitoring tools (Prometheus, Grafana, ELK stack) Exposure to banking or financial services domain Experience Required 4+ years of relevant experience in platform engineering / data engineering / DevOps

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