Assist in building, deploying, and maintaining Redis Enterprise clusters under guidance from senior engineers

Support the operation of Redis Enterprise components including cluster nodes, quorum, master and replica shards, and proxy-based client access

Participate in platform upgrades and maintenance, including patching, node management, and cluster health monitoring.

Work with senior engineers to deploy and configure Redis Enterprise databases, including sharding, replication, and high availability configurations

Contribute to automation and deployment pipelines, including CI/CD workflows and Infrastructure-as-Code for Redis Enterprise provisioning

Assist in implementing resiliency patterns, including failover, cluster recovery, and multi-node distribution

Follow established platform governance standards, including database lifecycle management, naming conventions, and access controls

Participate in incident response and troubleshooting, helping identify issues related to cluster health, replication, and performance

Learn and apply best practices for Redis Enterprise architecture, including clustering, shard distribution, memory management, and high availability

Support platform operations and compliance requirements, ensuring alignment with enterprise policies and controls

Assist in monitoring and improving platform performance, including latency, throughput, and memory utilization

Collaborate with application teams to support common Redis use cases such as caching, session management, and rate limiting

Work closely with internal infrastructure teams including platform, networking, and security to support Redis Enterprise deployments and operations

2+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Basic understanding of Redis Enterprise or in-memory data platforms, including clustering, high availability, and replication concepts

Exposure to container platforms such as Kubernetes or OpenShift (OCP)

Familiarity with Linux systems, networking fundamentals, and distributed systems basics

Basic knowledge of scripting or automation tools, such as Shell or Python

Understanding of CI/CD and DevOps practices

Awareness of security fundamentals, including authentication, authorization, and encryption basics

Strong problem-solving skills with the ability to troubleshoot issues with guidance

Good communication and collaboration skills, with the ability to work effectively in a team environment

Exposure to Redis Enterprise cluster deployments or operator-based deployments in Kubernetes environments

Familiarity with Redis Enterprise concepts such as shading, replication, failover, and proxy-based architecture

Basic understanding of high availability and resiliency patterns in distributed systems

Exposure to monitoring and observability tools including metrics, logs, and alerting

Experience using Git, CI/CD tools, or automation frameworks

Interest in learning large-scale, low-latency data platforms and enterprise caching solutions