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Redis Admin/Engineer in NYC, NY (Hybrid role)

FSTONE TechnologiesNew York, NY🇺🇸United StatesPosted Sep 22, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
1 week ago

Job Description

Responsibilities

    • Manage and maintain Redis instances, ensuring high availability and optimal performance.
    • Should possess well-versed experience in Redis administration and management for ex: 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

Minimum 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

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