HyrEzy Talent Solutions LLP
Website:
hyrezy.com
Job details:
- Experience Range: 3–6 Years | Location: Bangalore / Hyderabad
Position Overview
We are looking for a specialized
Redis Cache & Real-Time Data Engineer to design and scale our high-throughput, in-memory data infrastructure. In this role, you will be responsible for building lightning-fast caching layers, real-time messaging pipelines, and session management systems using Redis to ensure sub-millisecond API response times under heavy user loads.
Key Responsibilities & Scope
- In-Memory Architecture & Caching: Design and implement advanced Redis caching patterns (such as cache-aside, write-through, and eviction policies) to drastically reduce database load.
- Real-Time Data Streams: Leverage Redis Pub/Sub, Streams, and data structures (sorted sets, hashes) to power real-time messaging, notifications, and live tracking features.
- Cluster Management & High Availability: Configure, monitor, and scale Redis Sentinel and Redis Cluster environments to ensure fault tolerance, data persistence, and high availability.
- Performance Tuning: Analyze memory usage, optimize command execution times, and troubleshoot latency bottlenecks in high-concurrency environments.
Must-Have Qualifications
- Experience: 3–6 years of backend engineering experience with a heavy, specialized focus on Redis implementation and in-memory data store management.
- Tech Stack: Deep technical proficiency in Redis architecture, data structures, and clustering, paired with backend development skills in Python, Node.js, Go, or Java.
- System Optimization: Strong understanding of distributed systems, concurrency, network protocols, and performance profiling.
Skills: redis,cluster,data engineering,architecture,data structures,design,data engineer,real-time data
Click on Apply to know more.
