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.
33 positions· page 1/2
Senior Software Engineer, Full Stack
Founding Engineer / Senior Full Stack (AI-native Freight Forwarder)
R&D Management Trainee - Full-Stack Engineer (Backend）
R&D Management Trainee - Full-Stack Engineer (Backend）
R&D Management Trainee - Full-Stack Engineer (Backend）
R&D Management Trainee - Full-Stack Engineer (Backend）
[Remote] Software Development Engineer III (Backend + AI)
Senior Software Engineer - Agent Evaluation - Freelance/Remote 100+ openings
Software Development Engineer III (Backend + AI)
AI Engineer
Generative AI Engineer
Design Engineer - Americas
AI Platform Engineer
Gen AI Lead Engineer (W2 Only)
Software Engineer
Senior Software Backend Engineer
Senior Software Engineer Ruby on Rails 100 % remote (m/w/d)
Staff Forward Deployed Engineer
Forward Deployed Engineer - EMEA
Forward Deployed Engineer - META
Staff Design Engineer - Americas
Software Engineer (AI)
Principal Full-Stack Engineer (.NET/Angular) (AI-First Development) - Software
Founding Full-Stack AI Engineer
Backend Engineer
Principal AI Engineer
AI/LLM Engineer (ChatGPT & Voice AI Agent Development)
Python Developer
Senior Software Engineer (PHP, TypeScript, Node.js) m/w/d
Full Stack Engineer
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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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