Scott Gillespie

17+ years of bare-metal infrastructure, Linux systems, and data center engineering experience, including large-scale OpenStack, Hadoop, and Kubernetes cluster buildouts. Built automation and validation tooling in Python for infrastructure deployment, provisioning, and health checks — from Cobbler PXE bare-metal automation to CI/CD-driven cluster and cloud validation pipelines. Cross-platform build engineering background: validated and shipped systems-monitoring software across AIX, HP-UX, Solaris, IRIX, Tru64 Unix, and Linux, with deep root-cause diagnostic experience across hardware, OS, and networking layers.

Migrated bare-metal Kubernetes clusters to AWS EC2, partnering with infrastructure, networking, and hardware teams to validate cluster deployments at scale. Hands-on with Puppet, Ansible, and Terraform configuration orchestration across production, QA, and staging environments, plus VMware ESX and physical build-lab hardware administration. RHCE, AWS Certified Solutions Architect Associate, and HashiCorp Terraform Associate.

Cloud Infrastructure Systems Engineer - Indeed Inc.

(2021-10 - 2025-05)

• Migrated bare-metal Kubernetes clusters to AWS EC2, validating and re-architecting compute cluster deployments for production reliability.
• Built internal automation tooling in Python for AWS account provisioning, integrated with GitLab CI/CD and Terraform, to streamline infrastructure deployment workflows for engineering teams.
• Developed automated stale-workspace and stale-account detection tooling (Python, GitLab CI/CD) that continuously validated infrastructure health and flagged unused or at-risk resources.
• Built test-driven diagnostic services for tracking infrastructure spend and detecting stale or unused compute resources across the fleet.
• Partnered with security, networking, and vendor engineering teams to evaluate and validate new infrastructure and platform onboarding via design reviews and custom CloudFormation templates.
• Applied IaC (Terraform, Puppet, Ansible) to provision, validate, and manage cloud and on-prem infrastructure at scale.

Systems Engineer - Indeed Inc.

(2017-06 - 2021-10)

• Planned, procured, and built out Indeed's OpenStack, Hadoop, and Kubernetes infrastructure footprint, standing up bare-metal compute clusters for engineering teams.
• Owned production Linux systems reliability across large-scale fleets: patching, performance tuning, monitoring, and root-cause troubleshooting across hardware, OS, and networking layers.
• Automated bare-metal systems provisioning and deployment validation using Cobbler PXE boot, reducing manual buildout time and errors for new production hardware.
• Managed Puppet configuration orchestration across all production, QA, and staging systems, enforcing consistent, auditable infrastructure state at scale.
• Trained new hires and contractors on infrastructure monitoring and health-check tooling (Nagios, Datadog, PagerDuty), improving operational validation coverage.

Software Engineering Consultant / IT Contractor - Independent - Houston, TX

(2017-01 - 2017-03)

• Rails application development and infrastructure support of existing LIMS systems hosted in AWS and CenturyLink.

DevOps Engineer - R1Soft / Continuum - Houston, TX

(2016-05 - 2017-01)

• Diagnosed and resolved performance and infrastructure issues on production continuous-backup appliance hardware hosted at IBM Cloud data centers in San Jose and Washington DC.

Systems Administrator / Software Engineer - NetIQ / Micro Focus - Houston, TX

(2007-10 - 2016-05)

• Served as build engineer for Jenkins-based CI, validating and shipping NetIQ AppManager releases across seven server platforms (AIX, HP-UX, Solaris, IRIX, Tru64 Unix, Linux) with cross-platform compatibility validation and root-cause diagnostics.
• Contributed to shipping NetIQ AppManager for AIX pSeries virtualization v1.0.0, a systems monitoring and diagnostics product, as part of a 5-engineer development team.
• Administered VMware ESX virtualization infrastructure and physical build-lab hardware supporting continuous integration, release validation, and hardware testing.