Job Description
Job Title: Redis Admin
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Location: NYC,NY (3 days onsite minimum)
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Duration: 6 months
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Job Summary:
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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.
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Responsibilities:
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- 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
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Qualifications:
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- BE/B Tech/MCA
- Excellent written and verbal communication skills
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Preferred Qualifications/ Skills:
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- 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.
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