Zachary Gonzales

Machine Learning DevOps at Sage

Austin, Texas, United States
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Summary

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Top School
Zachary Gonzales is a Machine Learning DevOps and Senior Site Reliability Engineer with eight years building cloud-native, secure platforms across Azure, AWS, and Kubernetes. He has led major migrations and IaC initiatives—designing reusable Terraform and Helm modules, automated CI/CD pipelines, and developer portals—to reduce toil and improve governance at scale. At Sage and prior roles he strengthened security posture through automated vulnerability remediation, MFA/SSO, and integrated monitoring and disaster recovery runbooks. Now at Crunchylife he’s applying SRE and MLops practices to productize ingredient intelligence for conscious shoppers, while contributing to upstream projects like Kubernetes and OpenTelemetry. Known for combining pragmatic automation (Argo CD, GitHub Actions) with cost-aware observability, he also has a track record of turning security alerts into automated fixes and measurable operational savings. Based in Austin, he pairs hands-on engineering with open-source collaboration to move complex systems from proof-of-concept to resilient production.
code7 years of coding experience
job3 years of employment as a software developer
bookAssociate's degree Computer and Information Sciences, Associate's degree Computer and Information Sciences at Butler Community College
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Github Skills (28)

tray9
windows7
opentelemetry7
gitops6
argocd6
react6
aws6
css6
postcss6
argo6
operation6
autopilot6
windows-installer5
javascript4
typescript4

Programming languages (9)

TypeScriptHCLPowerShellSolidityJavaScriptGoHTMLRuby

Github contributions (5)

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zacharyrgonzales/Portfolio

Jun 2018 - May 2019

Contributions:65 pushes, 4 branches in 11 months
Contributions:13 pushes, 1 branch in 3 years 2 months
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Zachary Gonzales - Machine Learning DevOps at Sage