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.
Requirements
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
