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benbooth.eng — principal platform engineer
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Platform engineering, AI-augmented.

I build the Internal Developer Platforms that ship — and the AI workflows that compress a quarter of work into a week. For teams of 5 or 5,000.

  • Cloud-Native
  • Kubernetes
  • AWS
  • GCP
  • Crossplane
  • Go
  • LLM Workflows
  • GitOps

What I do

Three pillars, one obsession.

Internal Developer Platforms

Self-service infrastructure that gets out of the way. From Day-1 greenfield platforms at startups to reshaping IDPs at organisations climbing through scale, I build the kind of platform engineers actually want to use — modern, GitOps-native, Crossplane-powered.

  • Day-1 startup platforms
  • IDP at scale
  • Crossplane-powered IDPs

At IOG, cut EKS environment provisioning from days to minutes.

Cloud-Native Kubernetes & SRE

Production Kubernetes at scale, with SRE discipline baked in. Deep, hands-on across the full surface of AWS and GCP — multi-region clusters, error budgets, incident command — the boring infrastructure that keeps the lights on while a business climbs to scale.

  • Deep AWS expertise
  • Deep GCP expertise
  • Production Kubernetes
  • SRE discipline

At DAZN, owned a zero-downtime Transit Gateway migration for millions of concurrent live-broadcast users.

AI for Engineering Orgs

LLM-augmented infrastructure workflows that compress quarters of work into weeks. Agentic ops, AI-assisted IaC, prompt-engineered guardrails — applied to the real, messy work of platform engineering.

  • LLM-augmented infrastructure
  • Agentic ops & automation
  • AI-assisted developer workflows

At IOG, integrated LLMs into infrastructure config — 60%+ reduction in manual boilerplate.

Working with me

How we might work together.

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

Permanent

Permanent 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 weeks

Zero 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 weeks

Foundations 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 months

Long-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 weeks

Hands-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 weeks

Platform · 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 →

AI strategy

AI for the rest of the business.

AI adoption isn't just an engineering problem. If you're a non-technical leader trying to figure out where AI fits in your business — what to build, what to buy, how to deploy safely — I help with that too. Same engineer's lens; clearer business outcomes.

Talk through your problem

About

Fifteen years. One obsession.

I've spent fifteen years building the unglamorous, cloud-native infrastructure that lets product teams ship without asking permission.

I've done Day-1 platforms for startups and the rearchitectures that carry businesses through scale. Greenfield Kubernetes at Sky Betting, global AWS infrastructure at DAZN, multi-tenant GCP at CloudQuery, Crossplane-powered IDPs at IOG — the through-line has been the same: the best platform is one that disappears.

Deep, hands-on across the full surface of AWS and GCP, with the SRE discipline to keep it running under real load.

AI is the next compounding lever — done well, it makes everything I've built so far move faster. Done badly, it adds a layer of risk no one needs. I help teams do it well.

Get in touch

Let's talk.

Hiring for a senior platform role, building an IDP, or trying to make sense of where AI fits — drop me a line.