
location_onUnorganized Borough, United States
Join a Platform Engineering team that builds and supports shared data services used across multiple applications. You will work alongside experienced engineers to support the Redis caching platform and related tooling while applying your skills in automation, containers, and system operations. This role offers hands-on experience with distributed caching technologies and a chance to make a tangible impact on how these systems improve application performance, scalability, and resilience.
In this position, you will help operate and maintain Redis and caching services running on both virtual machines and Kubernetes environments. Your day-to-day will involve contributing to automation efforts, supporting operational stability, and learning best practices for building reliable, high-performance data platforms. You will assist in deploying and managing workloads using Helm charts, monitor system performance, and execute operational runbooks for upgrades and maintenance. This role is designed for someone eager to troubleshoot complex platform issues, collaborate with cross-functional teams, and document procedures that ensure long-term system health.
Work model: On-site
Unorganized Borough, United States
Exposure to Redis or similar in-memory or caching technologies. Experience using Helm or deploying applications in Kubernetes. Familiarity with monitoring or logging tools. Understanding of basic performance tuning or scalability concepts. Relevant coursework, certifications, or internship experience in IT or software engineering.