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.
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Full Stack AI Developer (Only W2)
Staff Software Engineer, Frontend
Staff Software Engineer
Staff Platform Engineer - Americas
Senior Software Engineer
Sr. Software Engineer, AI Agent & Orchestration (MXC)
Sr. Software Engineer (MXC)
Senior Backend Software Engineer
Senior Fullstack Software Engineer
Senior Software Engineer, Agentic Commerce
Senior Data Engineer, Datacraft team
Technical Support Engineer I
Senior AI/LLM Engineer (Python) - Remote
Design Engineer - Canada
AI Agent Engineer
Principal Software Engineer - Agentic SOC
Senior Full Stack Engineer
Sr. Engineer, Database Reliability
Senior Backend Engineer, Cloud Platform
Associate AI Engineer (Onsite in Los Angeles)
Associate AI Engineer
Senior Software Engineer
Staff Full Stack Engineer
AI Product Engineer (Agent & Integrations)
AI Product Engineer (Agent & Integrations)
AI Product Engineer (Agent & Integrations)
Senior Software Engineer II - Integrations
Software Engineer (Platform)
Full-stack Developer
Staff Software Engineer - Python, Java / Spring or Go
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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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