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.
30 positions
Senior Full Stack Engineer (Ruby on Rails)
AI Development Associate
Founding Staff Software Engineer • Python/FastAPI
Senior Full-Stack-Entwickler:in React / TypeScript / .NET 100 % Remote, KI-First
Engineer Software
Python / JavaScript Developer (Voice AI - Full Stack)
Senior LLM & ML Engineer (100% REMOTE)
Technical Support Engineer (Blockchain & Backend)
Technical Support Engineer (Blockchain & Backend Development)
Senior Software Engineer | Remote | AI SaaS Software Role
AI Engineer (Remote)
Principal Engineer
AI Engineering Lead
Engineering & Architecture Lead
Engineering & Architecture Lead
Remote | SWE (Terminal and CLI Dev Tools Focused) — $75–$80/hour
Senior Backend Engineer - AI Product
Founding Engineer (Ruby)
Backend + AI Engineer
🇩🇪 Senior/Staff Software Engineer PHP, TS, Rust, Kotlin (m/w/d)
Senior/Staff Software Engineer PHP, TS, Rust, Kotlin (m/w/d)
Sr. Engineer, Software
Backend Software Engineer
Staff Software Engineer CRM LATAM
Senior Software AI Engineer
Software Engineer
Staff Software Engineer - AI Marketing - US (Remote)
Member of Technical Staff (Backend Software Engineer)
Member of Technical Staff (Backend Software Engineer, API Platform)
Senior Engineer AI
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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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