Cloud & DevOps Engineering
End-to-end cloud architecture and DevOps. Networks, IAM, workloads, observability, runbooks. Built so your engineers can move fast without paging anyone at 3am.
Most cloud accounts are accidents. They grew with the company — a region here, a side-project there, a forgotten experiment running in us-east-1. Six months later nobody remembers why anything is named the way it is, and the bill keeps creeping.
I rebuild that. Not by tearing it all down — by introducing structure, automation, and ownership in the right places, and migrating workloads piece by piece.
What you get
Landing zone foundation — Multi-account org, SSO with breakglass, audit logging into a separate account, network baseline. The non-negotiables, set up cleanly.
Workload-level architecture — VPCs, subnets, load balancers, container/serverless platforms (ECS/EKS, Cloud Run, Lambda) sized to actual traffic. Stateless tier autoscaling. Stateful tier reviewed for blast radius.
FinOps from day one — Tagging policy, per-team budgets with alerts, savings plans/CUDs structured by stable baseline, weekly cost report into your inbox. Most teams find 25–40% they didn't know they were spending.
Operational glue — CloudWatch/Datadog/Grafana, log pipelines, paging policies tuned to severity, postmortem templates. The boring foundations that decide whether incidents are 20 minutes or 2 hours.
Typical engagement
Two to twelve weeks. Discovery week → foundation rebuild → workload migration in waves → handover with documentation and a 30-day support window.
Adjacent services.
Platform Engineering
Self-service platforms that turn 'open a ticket and wait three days' into 'open a PR and ship in fifteen minutes'.
EKS · GKE · AKS · self-hostedKubernetes & Container Orchestration
Production-grade Kubernetes — clusters that scale, upgrade cleanly, and don't wake people up.
GitHub Actions · GitLab · BuildkiteCI/CD Pipeline Engineering
Pipelines that are fast, deterministic, and trustworthy. Merging to main should be a non-event.