Redis Admin

Job Summary: The ideal candidate will design, deploy, maintain, and scale Kafka clusters in mission-critical environments while supporting the Linux-based infrastructure that forms the foundation of our real-time data platform. Responsibilities: • Manage and maintain Redis instances, ensuring high availability and optimal performance. • Possess well-versed experience in Redis administration and management; for example, a strong understanding of data structures, caching mechanisms, and performance tuning in Redis. • Monitor system health, troubleshoot issues, and implement backup and recovery strategies for Redis clusters. • Configure Redis caching, session management, and data storage. • Develop and maintain Python scripts for data manipulation, integration, and automation related to Redis. • Create efficient data processing pipelines to ingest and process data from various sources. • Python scripting for database interactions and automation tasks. Optimize Python scripts for performance, scalability, and maintainability. • Work closely with development teams to design and implement Redis-based solutions that meet business requirements. • Provide technical support and training to team members on Redis functionalities and Python scripting best practices. • Document Redis configurations, Python scripts, and integration workflows for knowledge sharing and compliance. • Generate performance reports and dashboards to monitor Redis usage and efficiency Qualifications: • BE/B Tech/MCA • Excellent written and verbal communication skills Preferred Qualifications/ Skills: • Experience with Redis clustering, caching strategies, and distributed systems • Familiarity with monitoring tools like Prometheus and ELK Stack and cloud solutions like AWS ElastiCache • Preferred experience running Redis on Kubernetes and familiarity with Redis modules like RedisJSON • Working experience with OpenShift Kubernetes Cloud services to deploy Redis cluster using vendor provided docker/helm charts • Redis cluster monitoring & alerting • Optimizing Redis cluster performance using Jvm tuning & profiling.