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# Lead Cloud Resiliency Engineer

- **Company:** State Farm Insurance
- **Location:** Bloomington, IL, United States
- **Experience:** Expert
- **Salary:** $97,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Disaster Recovery, Python (Programming Language), OpenShift, Reliability Engineering, Prometheus, Software Engineering, Scripting, Cloud Platform System, Grafana, Multi-Cloud, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Cloudwatch, Terraform, Splunk, Dynatrace
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-cloud-resiliency-engineer-bloomington-il--de24611c-bd8c-4c8a-86ef-67c50dd0b07d

## About the Role

Software Engineering, Cloud Computing, Customer Experience, Disaster Recovery, Cloud Computing, Software Engineering, Amazon Web Services (AWS), Team Player, Problem Solving Skills, Process Improvement, SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity., * Strong understanding of AWS cloud infrastructure, architecture, and operational practices.

 * Experience supporting, troubleshooting, or improving complex cloud-based applications and infrastructure.
 * Ability to understand technical architecture diagrams, application workflows, and infrastructure dependencies.
 * Experience with infrastructure automation, scripting, or Infrastructure as Code, including the ability to review and troubleshoot existing automation.
 * Familiarity with observability and monitoring practices used to understand application health and operational performance.
 * Experience collaborating across engineering teams to investigate technical challenges and drive improvements.
 * Strong communication, analytical, and problem-solving skills, with an ability to influence outcomes through collaboration.

Preferred Skills:

 * Site Reliability Engineering (SRE), platform engineering, resiliency engineering, or disaster recovery.
 * Azure, Google Cloud Platform (GCP), or multi-cloud environments.
 * Kubernetes or Red Hat OpenShift, including managed cloud offerings such as ROSA.
 * Cloud networking, cross-region architectures, and application recovery patterns.
 * Data resiliency, backup and restoration, or recovery testing.
 * Observability platforms such as Dynatrace, CloudWatch, Grafana, Prometheus, or Splunk.
 * Python, Terraform, CloudFormation, or other infrastructure automation technologies.
 * CI/CD pipelines, operational tooling, or self-service engineering platforms.
 * AI-assisted operations, intelligent monitoring, or automated operational insights.
Our Benefits

## Description

The Disaster Recovery Engineering (DRE) team is seeking an experienced Lead Infrastructure Engineer to help advance cloud resiliency and recovery capabilities across the enterprise. With AWS as our primary focus, this role offers the opportunity to work across diverse technologies and application architectures, collaborate with engineering teams to solve complex recovery challenges, and help shape how we validate and improve technology recoverability.
We're a collaborative team that values diverse perspectives, technical curiosity, continuous learning, and innovation. We intentionally make time to explore new ideas, improve existing processes, and develop solutions that make a meaningful difference. If you enjoy solving challenging problems, working alongside talented people, and helping teams build more resilient technology, we'd love to hear from you., * Partner with application and platform teams to plan, facilitate, and evaluate cloud recovery exercises, validating application and infrastructure recoverability.

 * Review cloud architectures, application workflows, and infrastructure dependencies to identify potential recovery challenges and opportunities for improvement.
 * Collaborate with engineering teams to investigate and troubleshoot recovery issues, helping identify practical solutions.
 * Expand recovery validation beyond compute to include data resiliency, backup and restoration, and critical service dependencies.
 * Leverage observability tools and operational metrics to evaluate recovery outcomes, identify gaps, and improve visibility into recovery readiness.
 * Identify opportunities to improve recovery processes through automation, standardization, and repeatable engineering practices.
 * Partner with software engineers to help shape resiliency tooling, dashboards, automated validation, and self-service capabilities.
 * Contribute to the evolution of enterprise cloud recovery strategies and practices through technical collaboration, experimentation, and continuous improvement.

Success in this role means helping engineering teams build confidence in their ability to recover from disruptions by making recovery capabilities more thoroughly tested, observable, automated, and repeatable.