Seattle, Washington
Gus VegaSenior Platform Engineer
I design and build internal developer platforms, cloud automation systems, and AI-powered engineering workflows that help teams move faster, safer, and at scale.
Summary
- Senior Platform Engineer focused on developer platforms, cloud infrastructure automation, and engineering enablement.
- Internal developer platform patterns that standardize repository onboarding, CI/CD, approvals, and deployment workflows.
- Terraform, GitHub Actions, and cloud platform components that are repeatable, auditable, and easy for teams to adopt.
- Enterprise experience across Costco, Microsoft, and Terumo BCT, where governance and reliability matter as much as speed.
Core Focus
Platform Engineering
- Internal developer platforms, platform architecture, and self-service engineering workflows.
- Reusable platform capabilities that improve developer experience and engineering productivity.
Cloud and Infrastructure
- Google Cloud, Azure, Terraform, Kubernetes, cloud architecture, and infrastructure automation.
- Reusable infrastructure platform components for networks, identity, secrets, policies, and environments.
Delivery Platforms
- GitHub Actions, Azure DevOps, CI/CD architecture, release automation, and deployment standards.
- Delivery governance with plan, apply, approvals, rollback signals, policy checks, and audit trails.
AI and Automation
- AI-assisted engineering, GitHub Apps, workflow generation, and repository onboarding automation.
- Engineering automation systems for infrastructure governance, observability, and operational consistency.
Highlights
- Designed reusable CI/CD platform capabilities with GitHub Actions, approvals, policy checks, rollback, and auditable logs.
- Built Terraform patterns that make multi-environment cloud infrastructure predictable and governed.
- Designed cloud platform patterns across GCP, Azure, Kubernetes, identity, secrets, observability, and secure delivery workflows.
- Helped engineering teams standardize Terraform, GitHub Actions, Kubernetes, and platform engineering practices.
Featured Platform Product
GitHub-native platform engineering
GuxOps
GuxOps is a GitHub-native platform engineering product that automates repository onboarding, infrastructure governance, CI/CD standards, workflow generation, and AI-assisted engineering operations. It turns GitHub repositories into governed deployment platforms with reusable engineering guardrails.
What it builds
PR, CI, CD, and release workflows with branch protections, repo variables, starter app code, Terraform, Docker, Helm, and GKE namespaces.
Why it matters
Small teams get platform-engineering guardrails without hiring a dedicated platform team.
Featured GitHub Actions for Terraform on Google Cloud
Published under the gusvega-dev namespace on GitHub Marketplace.
Terraform Plan GCP Action
Containerized GitHub Marketplace action that runs terraform plan on GCP runners with structured logs, JSON outputs, and Secret Manager/OIDC creds.
See on GitHub Marketplace →Terraform Apply GCP Action
Containerized GitHub Marketplace apply action sharing the same inputs as plan; supports approval gates and rollback-friendly signals.
See on GitHub Marketplace →Terraform Plan and Apply GCP Action
Containerized GitHub Marketplace combined plan+apply flow with shared inputs for teams that want one step and consistent audit.
See on GitHub Marketplace →What I am looking for
- Staff or Principal Platform Engineering roles focused on developer platforms, cloud automation, Terraform, and GitHub Actions.
- CI/CD architecture with policy, approvals, and governance for multi-environment cloud delivery.
- Infrastructure automation engagements: internal developer platforms, Terraform modules, Kubernetes patterns, and delivery workflows.
How I help teams
- Standardize GitHub Actions and Terraform into reusable platform capabilities across repositories and environments.
- Build self-service workflows that make infrastructure operations safer, repeatable, and easier for developers to adopt.
- Connect cloud infrastructure, observability, policy, and AI-assisted automation into practical engineering systems.