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Technology Engineer - Redis & Streaming Platforms

GSSTech Group

ChennaiOn-site2mo ago

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.

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

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