In-Memory Database Platform Engineer

Location: US - Remote

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

We are seeking an In-Memory Database Platform Engineer to join the Database Engineering team and help build, operate, and modernize enterprise in-memory database services. This mid-level role will support on-premises Redis deployments and multiple cloud-managed in-memory database offerings, with an emphasis on reliable operations, automation, security, performance, high availability, backup and recovery, and consistent engineering practices.

The ideal candidate has practical Redis administration experience, solid Linux skills, and hands-on exposure to one or more cloud in-memory database services. The engineer will work closely with application, infrastructure, security, SRE, network, and cloud engineering teams while continuing to grow platform-design and troubleshooting expertise.

*Please note: The selected candidate will be required to work overnight hours - example: 10:00 PM to 7:00 AM (CST time zone).*

In-Memory Database Platform Engineering

• Build, deploy, administer, and support production and non-production Redis environments across on-premises infrastructure and cloud-managed in-memory database services.
• Perform installation, configuration, patching, version upgrades, migrations, lifecycle management, and routine platform maintenance.
• Support Redis standalone, replication, and clustered architectures as applicable to the platform and workload.
• Apply engineering standards, reference configurations, operational controls, and documented best practices.
• Partner with application teams on connectivity, caching patterns, key design, data structures, performance, resilience, and operational readiness.