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-quick 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: Robust understanding of distributed systems, concurrency, network protocols, and performance profiling.

Skills: redis,cluster,data engineering,architecture,data structures,design,data engineer,real-time data

📌 Redis Cache & Real Time Data Engineer Tech Development Hyderabad
🏢 HYrEzy Tech Solutions
📍 Hyderabad