Redis Engineer (RTS Redis)

Role Overview

We are looking for an experienced Redis Engineer with in-depth knowledge of RTS Redis (Redis TimeSeries) for real-time data processing and caching operations. The ideal candidate will possess strong hands-on experience in Redis administration, including dump, persistence, and performance optimisation, with the ability to deploy and manage Redis solutions within OpenShift environments.

A developer mindset and solid understanding of Redis data structures, pipeline management, and AI integration are essential for this role.

Key Responsibilities

• Design, configure, and maintain RTS Redis (Redis TimeSeries) databases to support real-time analytics and time-series data workloads.
• Implement caching, dump, and persistence mechanisms to ensure data durability and performance.
• Develop and manage Redis pipelines, primarily focusing on Redis databases while leveraging other databases where beneficial.
• Deploy Redis environments in OpenShift with focus on scalability, high availability, and fault tolerance.
• Integrate RTS Redis solutions with Python and DevOps toolchains for automation and monitoring.
• Optimise Redis memory usage, query performance, and overall system reliability.
• Collaborate with development teams to integrate Redis into microservices and application architecture.
• Explore Vector Database integrations and AI-driven caching models to enhance performance.

Required Skill Set

Primary Skills:

• Redis Administration (RTS Redis / Redis TimeSeries)
• Real-time Data Processing
• Caching, Dump, and Persistence
• Immediate Deployment and Configuration Skills

Additional Skills:

• Python
• DevOps
• OpenShift

Preferred Combination:

• RTS Redis + OpenShift Deployment Experience

Good to Have:

• Knowledge of Vector Databases (e.g., Pinecone, Milvus, Weaviate)
• Exposure to AI model caching and data management
• Experience with CI/CD automation for Redis-based workloads

Other Details

• Banking domain knowledge: Not mandatory
• Experience Level: 5–8 years preferred
• Deployment: Immediate