Automation Platform Engineering

I build and operate automation systems in the cloud.

My focus is not just “writing tests”—it’s building automation platforms that scale with engineering teams. That includes cloud infrastructure (IaC), CI/CD pipelines, telemetry/observability, performance budgets, security gates, and the QA automation layer that proves it works.

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Reference Architecture

A pragmatic reference model for how I design quality platforms that are measurable and maintainable.

PR / Commit
  └─► CI Pipeline (lint/typecheck/unit)
        └─► Integration tests (DB/services)
              └─► E2E + a11y + visual
                    └─► Perf budgets (Lighthouse / load)
                          └─► Security gates (deps/secrets/ZAP)
                                └─► Publish artifacts (reports/screenshots)
                                      └─► Telemetry snapshot + dashboard
                                            └─► Alerts / triage playbooks

CI/CD Automation Gates

  • Multi-layer pipelines: lint → typecheck → unit → integration → E2E
  • Fast feedback via parallelization and smart retries (flake-aware)
  • Reports published as artifacts for auditability

Infrastructure as Code (IaC)

  • Terraform modules for repeatable cloud infrastructure (S3, IAM, lifecycle retention)
  • Least-privilege access with GitHub OIDC (no long-lived keys)
  • Cost-aware defaults: retention windows + minimal always-on services

Test Observability

  • Pass-rate and flake-rate trend tracking over time
  • Quarantine workflow for flaky tests + root-cause playbooks
  • Telemetry-first mindset: measure, then optimize

Performance Budgets

  • Lighthouse CI budgets and regression detection
  • P95/P99 thinking: define acceptable latency and enforce it
  • Synthetic monitoring style checks after deploy

Security Automation

  • OWASP-style scanning + dependency hygiene + secrets detection
  • Secure-by-default pipelines (fail on critical findings)
  • Defense-in-depth: auth, rate limiting, input validation, logging

Operations & Maintainability

  • Runbooks, checklists, and clear ownership boundaries (operational readiness)
  • Environment drift management + reliability fixes + repeatable workflows
  • Design for maintainability: conventions, docs, onboarding, and safe defaults

How I work

I’m opinionated about clean interfaces, predictable pipelines, and fast feedback loops. I prefer building systems that are easy to operate: clear ownership, clear runbooks, and metrics that make quality measurable.

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