Matthew Buckley
Site Reliability Engineer
[email protected]|847-665-9740|AutoMatt.sh|LinkedIn|GitHub|Fox Lake, IL

Skills

  • Python
  • Ansible
  • Docker
  • Kubernetes
  • AWS
  • Terraform
  • Bash
  • SQL
  • CentOS
  • RHEL
  • Debian
  • Ubuntu
  • Automation
  • Site Reliability
  • DevOps
  • CI/CD
  • ELK
  • Prometheus
  • Grafana
  • PagerDuty
  • Agile
  • Scrum
  • Jira
  • Confluence

Experience

DevOps Engineer
08/2022 - 10/2023
Houghton Mifflin Harcourt
Portland, OR
  • Managed 4,500 Linux servers in on-premises and AWS using Ansible, Puppet, Bash, and Terraform, enhancing scalability and consistency via Infrastructure as Code (IaC) practices.
  • Authored Ansible playbooks triggered through Jenkins CI/CD pipelines, reducing ongoing patching duration by 40% in 12 months, mitigating configuration drift.
  • Served as primary on-call DevOps and Site Reliability Engineer, responsible for quickly resolving production incidents via root cause analysis for NWEA’s global SaaS products.
  • Streamlined on-call engineer efficiency via documentation runbooks for handling production incidents and conducting post-mortem analysis, significantly improving mean time to repair.
  • Coordinated product deployments, improving deployment efficiency by 30% over one year by solving complex challenges with release and development teams.
  • Completed AWS Solutions Architect, AWS SysOps Administrator, and Kubernetes training programs over a six-month period.
Operations Engineer
06/2021 - 08/2022
Apple
Cupertino, CA
  • Reduced deployment times by 95% from 10 hours to 30 minutes by engineering automated configuration and deployments using Ansible, Python and Bash.
  • Implemented a Python and MongoDB application to monitor software signing servers, offering insights into developer trends for senior management.
  • Developed comprehensive infrastructure automation utilizing Ansible, Python, and Bash for deploying on-prem and private cloud software signing systems.
  • Published runbooks in Confluence for software engineering and operations teams, improving operational efficiency and preventing tribal knowledge.
Systems Engineer
03/2018 - 06/2021
Apple
Cupertino, CA
  • Automated operations and support tasks using Python and MySQL for global Apple-internal services consisting of 26,000 users.
  • Co-created Ansible playbooks for managing virtual machine servers in private cloud, reducing manual operations tasks by 80%.
  • Designed Python & MySQL automation for internal scheduling systems reducing deployment time by 98%, from 3 hours to 2 minutes.
  • Wrote Python application to interact with MySQL database to automate internal survey creation and reporting, reducing manual workloads by 75%.

Education

B.S. Database Management & Data Analytics
Western Governors University

Salt Lake City, UT