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