AWS · Serverless · Platform Architecture
Most engineering leaders I work with reach out when deployments slow down, AWS spend outpaces growth, and every new feature feels like a rewrite. The issue usually isn't the tools, it's the architecture underneath them.
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AWS Certified DevOps Engineer – Professional
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HashiCorp Certified: Terraform Associate
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Your Terraform plan takes longer than your standup, and nobody can draw the architecture from memory.
Read the diagnosis →The demo works. Production breaks under real tenants, real traffic, or the first compliance questionnaire.
Read the diagnosis →Staging works. Production needs manual steps nobody documented, and adding another environment would take a sprint.
Read the diagnosis →Releases take hours, fail intermittently, and nobody trusts the pipeline enough to deploy on Friday.
Read the diagnosis →The AWS bill climbed 30 to 50% with flat user growth, and outages still reach customers before your alarms do.
Read the diagnosis →Tenant isolation lives in application code, and every new customer or compliance rule becomes a custom infra project.
Read the diagnosis →where structure was the fix
Regulated SaaS client
ECS Fargate ran around the clock in environments that only needed capacity during business hours.
Material
Recurring AWS spend cut
Scale-to-zero
Scheduled on bursty workloads
0 rewrites
Application code unchanged
Regulated SaaS client
Commercial AWS and FedRAMP GovCloud had to share platform patterns, not copy-pasted Terraform.
Multi-env
Terraform platform with OIDC deploys
FedRAMP
GovCloud deployment to production
OIDC
Short-lived CI credentials, no static keys
Regulated SaaS client
Spinning up a new environment took days of manual Terraform, config, and verification.
<1 hr
Environment onboarding time
Days →
Previous manual process eliminated
Multi-env
On the same modular platform
from clients
“Ugo is an excellent engineer who has consistently produced top-quality deliverables for us over the past five years. He's reliable, communicative, and brings a strong problem-solving mindset to every project. We wouldn't hesitate to recommend him or to work with him again in the future.”
— Kurt, Kenyan Central Bank
“Ugo was professional and friendly in all interactions. He did quality work for our needs and available resources. He is a very skilled engineer and also shows aptitude for continual improvement in his craft. It was an overall great experience and Ugo did an excellent job to play a large part in successfully taking our project from zero to production. It was a pleasure working with him and we would definitely do it again in the future.”
— Evan, Rose Digital
“Great communicator and an even better developer. Ugochukwu was able to provide exactly what we wanted within half the expected delivery date. Would highly recommend for his amazing work.”
— Alexi, Tissimo
“If you have cloud-based projects that require expertise and accuracy, Ugo is that guy! Very knowledgeable and trustworthy. Would recommend to anyone.”
— Benjamin, Extra Brain
how i work
Every engagement follows the same sequence. I don't start with a tool list or a fixed deliverable, I start with what's actually breaking and why.
You describe the symptoms in your words: slow deploys, climbing AWS bills, audit gaps, tenant isolation worries. No job spec required.
I trace how the symptoms connect, what touches what, which environments fail first, where the team holds its breath before a release.
Separate surface fixes from structural debt. The goal is an honest read: architectural, operational, or something a different specialist should own.
Rank remediation by blast radius, effort, and dependency order. Quick wins get called out separately from changes that need the platform reshaped.
Hands-on where it matters, Terraform modules, deploy gates, isolation proofs, paired with your engineers so the pattern sticks after I leave.
recent
A lead solutions architect does not stand up a million-user platform on week one. I diagnose the load shape, fix the boundaries that fail first, and leave a path you can turn on when the traffic is real.
The expensive mistake is not staying on your current host. It is buying Kubernetes, multi-region, and reserved capacity for a load you have never seen.
Founders who want AWS so the app can handle 1 million concurrent users are usually mixing up concurrent users, registered users, and peak requests. Measure the real load before you buy a new cloud.
next step
Describe the structural problem, not a job spec. I'll reply within 48 hours with an honest read on whether the issue is architectural, operational, or something else entirely.
We'll start with a free, no-obligation 30-minute scoping call.
Do not include AWS credentials, API keys, production secrets, or confidential customer data. A repository link or architecture diagram is enough for a first read.