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.
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Set up and configure Apache Kafka for high-throughput, low-latency data streaming use cases.
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Build and maintain CI/CD pipelines using tools such as Jenkins, ArgoCD, and Git-based workflows.
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Deploy and manage applications on OpenShift / Kubernetes platforms.
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Work with large-scale streaming datasets and ensure optimal data flow and processing.
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Implement and manage cloud infrastructure across AWS, Azure, and OCI environments.
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Drive automation using cloud-native toolsets and Infrastructure as Code (IaC).
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Contribute to event-driven architecture and microservices-based system design.
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Apply best practices in GitOps, DevOps, and platform engineering.
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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.
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Proven experience with Apache Kafka in high-throughput production environments.
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Expertise in CI/CD tools (Jenkins, ArgoCD, Git).
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Hands-on experience with OpenShift / Kubernetes container platforms.
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Exposure to Public Cloud platforms: AWS, Azure, and/or Oracle Cloud (OCI).
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Strong understanding of event-driven and streaming architectures.
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Experience working with large-scale distributed systems and data platforms.
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Familiarity with GitOps practices and cloud automation tools.
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Good knowledge of software design patterns and their practical implementation.
Good to Have-
Experience with Infrastructure as Code (Terraform, Ansible, etc.)
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Knowledge of monitoring tools (Prometheus, Grafana, ELK stack)
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Exposure to banking or financial services domain
Experience Required-
4+ years of relevant experience in platform engineering / data engineering / DevOps
