“I can succeed as a Senior Infrastructure & Application Resiliency Engineer at Capital Group.” 

On our Cloud Reliability Engineering team, you’ll architect, build, and evolve the fault-tolerant infrastructure and application patterns the enterprise depends on to meet its availability and recovery commitments. Working autonomously and with wide latitude, you’ll serve as a strategic technical lead for the most complex, cross-functional resiliency solutions running in AWS—partnering with product, application, and platform leaders to define reliability strategy, from SLOs and error budgets to disaster-recovery posture. 

You’ll design multi-region, multi-AZ architectures and publish the reference patterns teams adopt across the enterprise; lead chaos experiments and game days that prove out resilience; automate self-healing and orchestrated failover to hit strict RTO/RPO targets; and coordinate incident response for high-severity outages, authoring the blameless post-mortems that permanently fix failures. Along the way, you’ll mentor senior and lead engineers and raise the bar for reliability practices org-wide. 

“I am the person Capital Group is looking for.” 

• You have a bachelor’s degree in Computer Science, Engineering, or equivalent practical cloud experience 

• You have at least 10 years in Site Reliability Engineering (SRE), DevOps, or Cloud Architecture roles, including demonstrated experience as a technical lead on enterprise-scale reliability initiatives 

• You have deep expertise in enterprise backup, recovery, disaster recovery, and cyber resilience on AWS—AWS Backup, cross-region recovery, immutable backups, recovery orchestration, application-consistent recovery, RTO/RPO planning, recovery testing, and backup governance 

• You are an expert in AWS resiliency services (e.g., Application Recovery Controller and Resiliency Hub), multi-region architectures, modern application architecture, and Kubernetes/container orchestration (e.g., EKS scaling and networking) 

• You have proven experience defining SLOs/SLIs and error budgets and automating self-healing and orchestrated failover to meet strict RTO/RPO targets 

• You have hands-on experience leading chaos/failure-injection experiments with tools such as Chaos Mesh, Gremlin, or AWS Fault Injection Simulator (FIS) 

• You have advanced Infrastructure-as-Code skills (e.g., Terraform for immutable infrastructure) and observability expertise with Prometheus, OpenTelemetry, or Datadog; working knowledge of workflow/streaming platforms such as AutoSys, Temporal.io, and Kafka is a plus 

• You have proven ability to mentor engineers, drive operational excellence, and articulate complex technical challenges and solutions to business and IT executive audiences