Senior DevOps and Site Reliability Engineer with 5+ years of experience building, automating, and operating large-scale multi-cloud platforms across AWS, Azure, and GCP. Proven track record resolving 300+ high-priority incidents, reducing MTTR by ~25%, and driving observability and infrastructure-as-code across 30+ production services serving millions of daily transactions globally. Now leveraging AIOps for AI-assisted anomaly detection, automated remediation, and intelligent incident resolution across hybrid and multi-cloud environments.
I'm a Senior DevOps and Senior Site Reliability Engineer with 5+ years of experience building, automating, and operating cloud platforms at scale across AWS, Azure, and GCP. I own the full delivery path: CI/CD pipelines in Jenkins, GitHub Actions, Azure DevOps, and Argo CD, infrastructure as code in Terraform and Ansible, and container platforms on Kubernetes, EKS, and ECS. At Disney Interactive I ran the shared AWS infrastructure behind ecommerce platforms serving millions of daily transactions across four global regions, supporting 30+ digital products, each an independent microservice written in Java, Python, Go, or Node.js, so operating comfortably across very different runtimes, build systems, and failure modes became second nature.
I've led response to 300+ priority one production incidents and cut mean time to recovery by roughly 25% through automation and proactive monitoring. Reliability is the core of how I work: defining SLIs and SLOs, owning error budgets, running blameless postmortems, and building observability in Datadog, Grafana, Prometheus, Splunk, and the ELK stack. Alongside that I've tuned Kafka and SQS pipelines, written Python self healing automation, and driven vulnerability remediation across container images and cloud networking. More recently I've worked in AIOps, applying anomaly detection and automated remediation to reduce toil and shorten incident response in hybrid environments. I hold the AWS Certified Solutions Architect credential and completed an M.Sc. in Computing at South East Technological University in Dublin, and I'm open to Senior DevOps, Site Reliability, Platform, and Cloud Engineering roles across Ireland.
A hospitality business was running table bookings, staff hours, and cash handling on paper and phone calls. I designed and shipped the platform that replaced all three, owning the architecture, data model, role hierarchy, security review, and third party integrations from first commit to production.
A polyglot microservice shop on AWS EKS where no single log tells you why checkout is slow. I instrumented the services with OpenTelemetry and wired traces, metrics, and logs into one view, so a slow request resolves to the exact service and span instead of a guess.
Modular Terraform that stands up a production shaped AWS environment, network through database, from an empty account. Built so dev and prod share one module set instead of drifting copies, with remote state and locking so two engineers cannot overwrite each other.
Pipeline as code that carries a commit to a deployed container with no manual steps. The Jenkinsfile owns build, test, image push, and a gated deploy, so the pipeline behaves identically on any agent and a failed test stops the release rather than a person catching it.
A TypeScript review application built to stay fluent in the application half of the stack I operate. Users browse, submit, and manage reviews against a REST API, typed end to end so a change to the API contract breaks the build instead of breaking production.
Designed and delivered a full-stack reservation and staff-operations platform for a hospitality business, owning the architecture, data model, role hierarchy, security posture, and third-party integrations end to end.
Drove reliability, scalability, and observability for a multi-tenant AIOps/SecOps platform on AWS, built from microservices and event-driven pipelines serving enterprise customers.
Supported large-scale, multi-tenant SaaS production systems on AWS across four global regions, driving reliability, automation, and observability for microservice-based e-commerce platforms.
Amazon Web Services • 2024
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