Remote Redis
Developer Jobs
Redis is the in-memory data store powering caching, queuing, and real-time features across the industry. Browse remote Redis engineer jobs at companies building high-performance, low-latency systems. These roles suit engineers who enjoy optimizing data access patterns and system architecture.
65 positions· page 2/3
Senior Software Engineer, AI Engineer (Brazil)
Senior Software Engineer - AI Innovation at Worth AI: 100% Remote (Tampa, FL, Miami, Atlanta, GA, Orlando)
Head of Technology
Senior Product Security Engineer (USA Only, 100% Remote)
Senior Site Reliability Engineer for Fuse team
Senior Platform Engineer
(Senior) Product Engineer
AI Platform Engineer (m/w/d)
Senior C++ Engineer
AI Platform Engineer (m/w/d)
Software Engineer (Platform - SRE)
Senior Full Stack Engineer
Senior Software Engineer | AI SaaS Software
Software Engineer
Quality Assurance Engineer II
Software Engineer - Menu
Senior Product Engineer - Americas
Senior Product Engineer - Canada
Staff Product Engineer - Canada
Ex Technical Founder (Product Engineer)
Senior Software Engineer, Fullstack
Principal of backend
Principal Software Engineer, ML & Distributed Systems
Principal Software Engineer, ML & Distributed Systems
Principal Software Engineer, ML & Distributed Systems
Principal Software Engineer, ML & Distributed Systems
Sr. Integrations Engineer, Supply Chain Technology
Senior Software Engineer
Senior Backend Engineer - Backend Platform (USA Only, 100% Remote)
Senior Backend Engineer - CRM (USA Only, 100% Remote)
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Frequently Asked Questions
What is Redis used for in modern application architectures?
Caching (session data, API responses, database query results), message queuing and pub/sub (task queues, event streaming), real-time leaderboards and rate limiting, geospatial queries, and as a primary database for high-throughput use cases. Redis Stack adds search, JSON, timeseries, and graph data capabilities. In AI applications, Redis is commonly used as a vector database (Redis VSS) for low-latency semantic search and as a session store for stateful LLM conversations.
What Redis operational skills do companies look for?
Persistence configuration (AOF vs RDB snapshots), replication and Redis Sentinel for high availability, Redis Cluster for horizontal scaling, eviction policies and memory management, pipeline and transaction commands, Lua scripting for atomic operations, and Pub/Sub patterns. Cloud-managed options: AWS ElastiCache for Redis, Redis Cloud, Upstash for serverless use cases. BullMQ and similar queue libraries built on Redis are extremely common in Node.js backends.
What do remote engineers with Redis expertise earn?
Redis expertise is almost always bundled with backend engineering skills. Engineers who deeply understand Redis caching, clustering, and data structures earn $120k–$190k at US remote companies. Those building high-performance trading systems, real-time gaming backends, or large-scale caching layers earn at the top of the range. European Redis-focused backend roles pay €65k–€130k.
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