Platform & Infrastructure

Cloud platforms defined in code, from account and network layout to Kubernetes delivery, observability, and cost. Built so a small team can change them safely and understand what they run.

TerraformAWS & GCPKubernetesGitOpsObservabilityCost optimization

Industries

What it covers

Account, network, and environment layout on AWS and GCP

Infrastructure as code with Terraform and AWS CDK

Kubernetes platforms with GitOps delivery and promotion from dev to prod

Observability with OpenTelemetry, Prometheus, and Grafana

Private-cloud and customer-hosted deployments

Cloud cost analysis and right-sizing

Typical work

Cloud foundations for new products that can pass a security review on day one

Migrations from platform-as-a-service hosting to containers on AWS

Private-cloud delivery for customers with strict compliance requirements

Cloud cost reviews when spend has outrun usage

How I think about it

Infrastructure should be boring to operate and easy to reason about. Everything in code, every change reviewed, every environment reproducible. That discipline is what lets a small team run a serious platform.

Other expertise

Agentic Engineering

Coding agents as part of the engineering system. Harnesses, guardrails, quality gates, and telemetry.

Automation & Applied AI

Manual work mapped and measured, then automated where it pays off. Models chosen on evals and cost, with guardrails.

Security & Compliance

Identity, least privilege, audit trails, and data boundaries designed in. Architecture that holds up under HIPAA, SOC 2, and ISO 27001 review.

Data Engineering

Ingestion, enrichment, and event pipelines. Data modeled and accessible for products, analysis, and automation.

Product Engineering

Web, mobile, and backend products from first version through launch and iteration. Full stack, from data model to interface.