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# In-Memory Database Platform Engineer

- **Company:** Allstate Corporation
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $80,000 - $136,625
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Microsoft Azure, Backup Devices, Cloud Database, Cloud Engineering, Cluster Analysis, Configuration Management, Databases, Continuous Integration, Customer Data Management, Data Structures, Relational Databases, Database Design, Linux, DevOps, Disaster Recovery, Memory Management, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Linux System Administration, Machine Learning, Microsoft SQL Server, MongoDB, MySQL, Oracle (Applications), Performance Tuning, Windows PowerShell, Red Hat Enterprise Linux, Redis, Ansible, Prometheus, Software Vulnerability Management, Datadog, Google Cloud, Cloud Platform System, Amazon ElastiCache, System Availability, Grafana, Multi-Cloud, Database Performance, Gitlab, Information Technology, Hardware Infrastructure, Xero (Accounting Software), Terraform, Splunk, Software Version Control
- **Published:** October 20, 2026
- **Apply:** https://www.builtincolorado.com/job/memory-database-platform-engineer/11794586?handler=ApplyRedirect

## About the Role

· 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; RHEL or a comparable enterprise Linux distribution is preferred.

· 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.
Preferred Qualifications

· 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.
Desired Attributes

· 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.

#LI-SH3

Skills
Amazon Web Services (AWS), Amazon Web Services (AWS), Automation, Backup and Recovery, CI/CD, Database Administration, Database Design, Database Maintenance, Database Management, Database Management Systems (DBMS), Database Organization, Database Performance, Datadog, Data Modeling, Disaster Recovery (DR), Linux, Microsoft Azure, Microsoft PowerShell, Microsoft SQL Server, MongoDB (Platform), MySQL Database Administration, Networking, Problem Management, Python (Programming Language), Redis {+ 5 more}, When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.

Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

## Description

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.

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.
Multi-Cloud In-Memory Services

· 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.
High Availability, Disaster Recovery, and Data Protection

· 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.
Performance and Reliability

· 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.
Security and Compliance

· 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.
Automation and DevOps

· 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.
Platform Operations

· 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., The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component., Analyze malware, binary files, customer detection tickets, and machine learning detections to improve detection efficacy and reduce false positives. Review product detections, assess binary legitimacy, address internal detection questions, and provide insights to data science teams. The role collaborates with technical account managers, incident response teams, data scientists, and malware researchers. Required capabilities include malware analysis, reverse engineering, Python scripting, binary fundamentals, threat assessment, research methods, operating systems, and AI-assisted workflow improvement.