Consulting · contracting · platform architecture

Bring me in when the AWS estate technically works, but operationally nobody trusts it.

I help teams clean up platform sprawl, put guardrails in the right layer, modernise awkward workloads, and cut through the process theatre that slows delivery down.

Best fit Platform estates with unclear ownership, noisy controls, expensive runtime habits, and too much manual governance.
Typical outcomes Cleaner boundaries, stronger reporting, safer delivery defaults, and less wasted compute.
Bias Hands-on, blunt, implementation-led work. Not architecture theatre.

Proof surface

Useful because the work changes operating behaviour, not just diagrams.

Publicly safe examples of the kinds of outcomes I have delivered.

Cost and operating discipline Delivered material annual savings through commitment optimisation, workload reshaping, lifecycle control, and tighter platform habits.

Not dashboard theatre. Runtime shape, scheduling, ownership, and defaults matter more.

Workload modernisation Moved long-running, resource-heavy workloads into cleaner event-driven ECS task patterns with better isolation and scaling behaviour.

Useful when “it works” really means “it burns money slowly and fails awkwardly.”

Reliability under pressure Reduced critical website dropouts for Australian Museum from roughly 20 a day to zero through architecture and performance fixes.

Reliability work counts when the user-visible problem actually disappears.

What I usually help with

Three recurring problem shapes

AWS governance reset

Fix where SCPs, detective controls, exceptions, ownership, and reporting have drifted apart.

Platform operating model cleanup

Untangle platform, security, and delivery boundaries so the platform becomes easier to trust and easier to use.

Workload and cost modernisation

Rework runtime and lifecycle choices that create cost drag, scaling pain, and fragile operations.

How I work

Find the operating constraint first

I am usually most useful when a team already has dashboards, tickets, policies, and committees, but still cannot explain who owns the real boundary or why the platform behaves the way it does.

What I avoid

No appetite for architecture cosplay

If the goal is to produce a shiny target-state deck with no implementation path, I am the wrong person.

Engagement shapes

Different entry points. Same bias toward practical change.

Short intervention

Assessment and direction

Fast review of platform governance, workload shape, or cost discipline with a blunt set of findings and a practical sequence of fixes.

Bridge role

Architect who still ships

Useful when a team needs architecture decisions grounded in actual platform delivery rather than slideware or committee output.

Strong fit

Where I tend to add value fastest

  • AWS estates with governance debt and ownership blur
  • Teams stuck between architecture intent and operational reality
  • Modernisation work where runtime shape matters as much as code
  • Cost problems caused by platform design, not just spend visibility
  • Environments that need practical leadership without management fluff

Weak fit

Where I am probably the wrong hire

  • Pure strategy work with no implementation path
  • Teams looking for a generic cloud cert consultant
  • Long discovery projects that avoid hard technical decisions
  • Places that want architecture documents more than platform change

How to start

The first useful conversation is simple.

  1. Tell me what is messy.
  2. Tell me what is politically sensitive.
  3. Tell me what is costing time or money.
  4. I will tell you where the real problem probably is.