AE / SYSTEMS FIELD ATLASLIVE PORTFOLIO

Cloud & infrastructure engineer

Reliable cloudsystems, mappedfor the real world.

I design resilient cloud platforms, delivery workflows, and operational tooling that make ambitious systems easier to ship and safer to run.

Enter the field atlas View résumé profile
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Rayquaza moving through the cloud systems atlas
Metagross guarding the systems reliability route
05+ yearsMULTI cloud24/7 mindset
01 / INTERACTIVE CAPABILITY MAP

The map is part of
the résumé.

Six engineering habitats. Six field partners. Every Pokémon has a job—and every region opens a specific part of my cloud engineering practice.

AE CLOUD REGION / LIVE MAP6 HABITATS · 6 DISCIPLINES
N 34° / CLOUD COASTROUTE / AE-06
Active habitatSelect a partner to explore
02 / EXPERIENCE PROFILE

Where I create
leverage.

A hiring-manager view of the work I can own, from cloud foundations through production operations.

My operating principleInfrastructure is a product: it needs users, feedback, explicit tradeoffs, and a maintenance story.

01FOUNDATIONS / DISTRIBUTED SYSTEMS

Cloud architecture

I turn requirements for scale, security, and continuity into infrastructure teams can actually operate.

  • Multi-region and recovery architecture
  • Network, identity, and service boundaries
  • Infrastructure modules with clear ownership
AWS · Azure · GCP · Terraform · Linux
02DELIVERY / DEVELOPER EXPERIENCE

Platform engineering

I build paved roads that help product teams ship confidently without making the platform a black box.

  • Kubernetes and container platforms
  • GitOps, CI/CD, and progressive delivery
  • Service templates, policies, and escape hatches
Kubernetes · Docker · Argo CD · GitHub Actions
03OPERATIONS / SYSTEMS SOFTWARE

Reliability & automation

I make production behavior visible, automate repeatable decisions, and design the recovery path before launch.

  • SLOs, telemetry, and actionable alerting
  • Incident readiness and recovery exercises
  • Python and Go automation for operational toil
Python · Go · Observability · SLOs · APIs
CAREER SIGNAL
05+years building systems
99.99%availability target
63%manual toil reduced
MULTI-CLOUDAWS · Azure · GCP
03 / SELECTED PROJECT EVIDENCE

Systems work should
show its reasoning.

Interactive case studies connect the problem, engineering response, architecture, and measurable outcome.

CASE STUDY / 01

Multi-Region Edge Platform

An active-active cloud foundation built to keep serving traffic through regional failure, with recovery paths designed before they were needed.

99.99%target availability
12 msedge latency
AWSTerraformKubernetesGitHub Actions
LIVE TRAFFIC / ACTIVE–ACTIVE
US-WESThealthy
US-EASThealthy
GLOBAL
ROUTER
TRAFFIC 50 / 50FAILOVER READY
dragonite, the field partner for this project
FIELD PARTNERDragonite / global delivery
CONSTRAINT

Reduce regional risk without multiplying operational complexity for the teams running the platform.

ENGINEERING RESPONSE

Standardized environments, health-aware traffic routing, progressive delivery, and observable failover paths that could be rehearsed safely.

01 / Cloud architecture · Reliability

Multi-Region Edge Platform

An active-active cloud foundation built to keep serving traffic through regional failure, with recovery paths designed before they were needed.

99.99% target availability · 12 ms edge latency
02 / Platform engineering · Developer experience

Kubernetes Delivery Mesh

A paved road for containerized services with safe defaults, progressive delivery, policy checks, and a fast route back.

14 min typical deployment · 1-click rollback
03 / Automation · Internal platforms

Infrastructure Control Plane

Self-service environments and reusable infrastructure recipes that replace ticket queues with safe, auditable workflows.

63% less manual toil · 100% changes audited
04 / TECHNICAL INVENTORY

A practical toolkit,
not a logo wall.

Grouped by the kind of problem each tool helps solve.

01Cloud & systems
  • AWS
  • Azure
  • GCP
  • Linux
  • Networking
  • IAM
02Platform & containers
  • Kubernetes
  • Docker
  • Argo CD
  • GitOps
  • Service templates
03Infrastructure as code
  • Terraform
  • Python
  • Go
  • APIs
  • Policy as code
04Reliability & delivery
  • SLOs
  • Observability
  • CI/CD
  • Recovery
  • Incident readiness
DISCOVER

Map the constraints, failure modes, ownership, and operating reality.

ENCODE

Turn repeatable decisions into modules, workflows, checks, and docs.

MEASURE

Connect platform work to reliability, speed, and developer experience.

05 / OPEN CHANNEL

Looking for a cloud engineer who can see the whole system?

I'm interested in cloud, platform, DevOps, and reliability roles where thoughtful infrastructure can make a measurable difference.

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