Senior cloud architectureStart a conversation Independent cloud engineering consultancy
I help organizations operate, clean up, modernize, and automate their cloud environments through direct access to experienced, hands-on engineering.
A more direct model
There is no handoff from sales to an unfamiliar delivery team. I work directly with your stakeholders to understand the environment, surface the right priorities, and carry the engineering through.
Engagements are intentionally flexible: begin with a cloud-environment review, solve a defined problem, or establish an ongoing base of senior engineering capacity.
Service catalog
Choose ongoing support, a focused assessment, or a defined block of engineering capacity. Each engagement can stand alone or become part of a longer roadmap.
From $2,000/month
Ongoing, hands-on engineering for cloud operations, troubleshooting, infrastructure changes, monitoring, security hardening, cost optimization, and focused automation.
Includes up to 15 engineering hours. Approved additional time is $150/hour.
$4,000 one time
A structured start for Base customers: access, cloud context, account and identity review, immediate risk identification, environment inventory, and a prioritized work backlog.
Required for new Support Base customers; complex environments may need revised scope.
Approx. $8,000
A 2–4 week assessment of spend, waste, security, resilience, technical debt, and operational practices—with prioritized findings and a practical remediation roadmap.
Final scope and price are confirmed before work begins.
$8,000 / 40 hours
Focused discovery and engineering for a practical AI workflow, automation, integration, prototype, limited production implementation, or modernization roadmap.
Usage, licensing, and third-party costs are separate; additional work requires approval.
Scoped to your environment
Recovery architecture, system priorities, runbooks, and an implementation roadmap built around critical dependencies, recovery objectives, backup, and restoration needs.
Design, implementation, documentation, and exercises can be scoped separately.
$8,000 / 40 hours
A phased conversion of manually managed infrastructure into repeatable, version-controlled code, starting with the highest-value systems and workflows.
Additional phases are estimated separately; approved additional time is $150/hour.
$2,000 / review
A recurring view of spend, anomalies, idle resources, savings opportunities, access, exposure, backup, monitoring, and newly accumulated technical debt.
Includes up to 15 engineering hours and is available as a Base add-on.
Project and retainer overages require customer approval and are billed at $150/hour in 30-minute increments.
AWS AI & Automation
Start with a defined use case and a small proof of concept when it makes sense. When it proves valuable, the work can grow into a secure, monitored workflow your team can support.
Focused internal chat, question-answering, drafting, structured extraction, and AI features connected to the systems your team already uses.
Useful answers from approved company documents, technical references, support material, and runbooks—with references back to the source material.
Turn PDFs, forms, invoices, receipts, reports, and scanned documents into structured workflows with validation and human review where it matters.
Transcribe and summarize recorded audio, extract decisions and action items, classify text, or route image content based on what the workflow finds.
Make alarms, logs, incident timelines, cost changes, security findings, and runbooks easier for operators to understand and act on—with human review in the loop.
Move an approved workflow into a supportable AWS environment with least-privilege access, guardrails, monitoring, cost controls, infrastructure as code, and handoff documentation.
How it works
Every engagement is shaped around the environment, the work that matters now, and what should happen next.
Understand the environment, operating context, constraints, and the business impact behind the work.
Turn findings into a visible, practical sequence based on risk, value, effort, and dependencies.
Complete focused engineering work with clear scope, documentation, validation, and customer approval.
Continue through a defined project, monthly engineering capacity, or a recurring cloud health review.
Why direct
Traditional MSPs can be the right fit for broad coverage and large support operations. This model is for organizations that value focused senior engineering, direct accountability, and the freedom to engage only the capacity they need.
See if the model fitsYou work with the person assessing the environment, making the changes, and explaining the tradeoffs.
Start with a focused review, a defined block of engineering capacity, or an ongoing monthly base.
Recommendations are organized around real risk and value—not bundled into an opaque service package.
Starting prices, included hours, scope boundaries, and approval requirements are clear before work proceeds.
Start with a conversation
We can start by talking through your cloud environment, reviewing what needs attention, and deciding whether a focused assessment or engineering engagement makes sense.