A handful of shapes, depending on where you are — from Day-1 startup foundations through full-time leadership to short, focused audits. All of them deeply technical, all hands-on. Drop me a line and we'll figure out which one fits.
Full-time roles
PermanentPermanent technical leadership
Principal-, Staff-, or Architect-level platform engineering. Hands-on technical leadership across the full surface of platform work — cloud-native infrastructure, IDP architecture, AI integration — with the SRE discipline to keep it running under real load.
- Platform engineering
- Cloud-native infrastructure
- IDP architecture
- SRE & hiring
Get in touch →Day-1 platform for startups
4–10 weeksZero to production-ready
A complete cloud-native foundation for an early-stage company. Cloud account structure, Kubernetes from scratch, GitOps pipelines, secrets and observability, the on-call playbook — opinionated, modern, and built to scale from day one without becoming the thing you replace at Series B.
- Greenfield AWS or GCP
- Kubernetes from scratch
- GitOps & IaC
- Day-1 SRE practices
Get in touch →Cloud architecture & scale
8–16 weeksFoundations and the climb to scale
Designing the cloud-native foundations underneath everything — and the rearchitectures that carry a business through the next order of magnitude. AWS or GCP, multi-cloud topology, regulated-system bridges, fleet management, and the boring decisions that compound when traffic does.
- Deep AWS expertise
- Deep GCP expertise
- Multi-cloud architecture
- Scaling & rearchitecture
Get in touch →Fractional advisory
3–12 monthsLong-engagement strategy
Strategic platform and AI guidance for scaleups that don't (yet) have a Principal-level platform engineer in-house. Roadmaps, RFCs, vendor and architecture decisions, hiring rubrics — the work that compounds quietly over months.
- Platform roadmaps
- AI investment strategy
- Hiring & RFCs
- Vendor decisions
Get in touch →AI enablement
1 day to 6 weeksHands-on team capability
Bringing engineering teams up to speed on LLM-augmented workflows. Workshops, agentic ops integration, AI-assisted infrastructure tooling — and the production-rollout patterns that keep AI from quietly breaking things in your supply chain.
- LLM workflows
- Agentic ops
- AI-assisted infrastructure
- Production rollout patterns
Get in touch →Audits & diagnostics
2–6 weeksPlatform · cost · AI readiness
Short, focused reviews of an existing investment. Whether it's an under-performing platform, runaway AWS or GCP spend, or readiness to bring AI into the engineering org — delivered as a written report with concrete, ranked recommendations.
- Platform reviews
- Cloud cost audits
- AI readiness
- GitOps maturity
Get in touch →