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.

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