Sean C.

About Sean C.

DevOps Engineer with 6 years of experience specializing in cloud architecture and automated infrastructure within highly regulated sectors including banking, energy, and healthcare. Proven expertise in managing multi-cloud environments (AWS & Azure) with a focus on Kubernetes orchestration, Infrastructure as Code (IaC), and CI/CD pipeline security. Skilled at bridging the gap between development and operations to improve deployment frequency and system reliability.confuseanportfolio.vercel.app

Experience

1. Devops Engineer Ii

   Wells Fargo

   Feb 2024 — Present · New York, NY, US

   Engineered a multi-cloud Kubernetes strategy for payment processing platforms using EKS and AKS, implementing cluster autoscaling to maintain 99.9% uptime across 30+ microservices.Championed the implementation of GitOps workflows with development teams using GitLab CI and Argo CD, reducing deployment failure rates by 35% and cutting release cycle time by 50% through automated testing gates.Drove automated security compliance scanning across 20+ CI/CD pipelines using Snyk and Trivy, reducing critical vulnerability exposure by 60% while ensuring adherence to FFIEC and SOX standards.Designed and implemented automated rollback functionality for onboarding scripts using Python and Azure Functions, cutting mean time to recovery from 45 minutes to under 5 minutes and eliminating manual intervention.Established a versioned Infrastructure as Code library using Terraform, reducing environment provisioning time from 3 days to under 2 hours across 6+ application teams.Contributed to the program\'s goal of optimizing cloud spending for capital markets workloads through reserved instances, spot instances, and savings plans with automated resource scheduling, achieving approximately $220K in annual cost savings while maintaining performance SLAs.Resolved complex certificate download API issues by reverse-engineering permission inheritance chains and implementing API-specific permission sets with custom IAM policies, restoring functionality for 300+ API users across 5 application teams within 48 hours.Partnered with application teams to migrate 40+ VMs to containerized workloads using Docker and Kubernetes with automated image building, improving resource utilization by 45% and reducing patching cycles from 4 weeks to on-demand.Implemented Datadog and Prometheus monitoring with custom exporters and dashboards across a multi-cloud environment, reducing MTTR by 35% across 50+ monitored services through automated alert correlation.

Education

• University of Delaware

  Masters, Mathematical Statistics