Note: The job is a remote job and is open to candidates in USA. Allstate is seeking an In-Memory Database Platform Engineer to build, operate, and modernize enterprise in-memory database services. The role supports on-premises Redis deployments and cloud-managed in-memory database offerings, with a focus on reliable operations, automation, security, performance, high availability, and backup and recovery.

Responsibilities

• 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
• Support managed in-memory database offerings such as Amazon ElastiCache for Redis/Valkey, Amazon MemoryDB, Azure Managed Redis, and Google Cloud Memorystore, based on enterprise platform direction
• Assist with provisioning, configuration, scaling, maintenance, monitoring, networking, access management, and migration activities across cloud environments
• Help maintain consistent security, reliability, observability, and operational practices across on-premises and cloud implementations
• Configure and support highly available Redis solutions using replication, clustering, multi-zone, or cloud-native resiliency capabilities
• Configure and operate persistence, snapshot, backup, retention, restore, and recovery-validation processes where supported and required by the service
• Monitor database availability, memory utilization, latency, throughput, replication health, capacity, and platform performance
• Analyze and tune Redis configurations, memory policies, data structures, client behavior, connection patterns, hot keys, and workload characteristics
• Troubleshoot production incidents, contribute to root-cause analysis, and implement corrective and preventive actions
• Participate in capacity planning, observability, operational health, and reliability improvements
• Implement and maintain authentication, authorization, least-privilege access, network controls, auditing, and credential-management integrations
• Support private connectivity and identity/access controls for cloud-managed services
• Assist with vulnerability remediation, compliance reviews, security assessments, and evidence requests
• Develop and maintain automation for provisioning, configuration, deployment, patching, validation, monitoring, and routine operations
• Use source control, APIs, CI/CD practices, configuration management, and Infrastructure as Code to improve consistency and repeatability
• Contribute to safe self-service capabilities and reduction of manual operational work
• Provide operational support for business-critical production and non-production in-memory database environments
• Participate in on-call rotations, incident response, change management, and problem management
• Create and maintain runbooks, troubleshooting guides, standards, and operational documentation
• Work independently on standard engineering tasks and partner with senior engineers on complex designs, migrations, and incidents

Skills

• 4+ years of database administration, database engineering, platform engineering, or related infrastructure experience
• 2+ years of hands-on Redis administration or engineering experience in production or enterprise environments
• Working knowledge of Redis architecture, persistence, replication, clustering, memory management, security, maintenance, and performance tuning
• Hands-on experience with high availability, backup/recovery or persistence strategies, monitoring, capacity planning, and production support
• Experience supporting at least one cloud-managed in-memory database service or comparable cloud database platform
• Solid Linux administration and troubleshooting skills
• Ability to troubleshoot database, operating system, storage, network, client-connectivity, and application-integration issues
• Experience executing upgrades, patching, migrations, platform changes, and controlled production releases
• Clear written and verbal communication skills and the ability to collaborate effectively across engineering teams
• Strong ownership, customer focus, and attention to operational quality
• Practical analytical, troubleshooting, and problem-solving skills
• Ability to manage priorities, follow engineering standards, and deliver assigned work with appropriate guidance
• Strong collaboration, documentation, and communication skills
• Interest in developing deeper expertise across in-memory platforms, automation, and multi-cloud database services
• RHEL or a comparable enterprise Linux distribution
• Experience with more than one cloud in-memory offering, especially Amazon ElastiCache for Redis/Valkey, Amazon MemoryDB, Azure Managed Redis, or Google Cloud Memorystore
• Experience with Redis Enterprise or Redis Software for on-premises platform management
• Experience with Ansible automation for installation, configuration, patching, validation, or recurring operational tasks
• Experience with relational databases such as PostgreSQL, Oracle, Microsoft SQL Server, or MySQL
• Experience with Infrastructure as Code and delivery tooling such as Terraform, GitHub, GitLab, or CI/CD pipelines
• Experience with observability platforms such as Datadog, Prometheus, Grafana, Splunk, or native cloud monitoring services
• Exposure to Redis-compatible technologies such as Valkey is beneficial

Benefits

• A comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

Company Overview