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For CTOs, engineering managers and agencies
An AWS-certified engineer with 6 years on AWS and GCP, Terraform and CI/CD, who makes deploys fast and production calm.
FIXED PRICE
A fixed price and a fixed number of days, worked in your repo, ending with a faster pipeline, a watched main service and a written list of what to fix next.
$1,500
$3,000
5 working days
10 working days
One pipeline made measurably faster, and your main service watched.
Sprint S, plus your main service defined in code and released safely.
An audit of your CI/CD and AWS
Everything in Sprint S
One pipeline sped up: caching, parallel jobs, build images
Infrastructure as code (Terraform or Pulumi) for your main service
Alerting and dashboards for your main service
Staging to production promotion, with rollback
Written findings and a 30-day fix list
Cost-reduction changes, applied
Payment
Payment
50% to start, 50% on handover.
Our promise: If the agreed pipeline is not measurably faster, the second payment is waived.
40% to start, 30% at the mid-point demo, 30% on handover.
Book Sprint S: Book a 20-minute call
Book Sprint M: Book a 20-minute call
Prices in US dollars. The scope and price are agreed in writing before work starts.
BY THE HOUR
An AWS and DevOps engineer your agency can put on client work, billed by the hour.
$45
/hour
$55–60
/hour
10–20 hours a week, invoiced weekly.
On-call or urgent work.
Minimum 20 hours.
WORK SO FAR
CONTRACT, VIA A CONSULTING AGENCY
Problem
ADBIRT
Problem
A consulting agency’s client teams waited about 30 minutes for every deploy, so fixes queued up and releases bunched together.
The client’s Amazon Connect IVR needed callbacks, two-way SMS and patient eligibility checks, and its API allowed only 2 requests per second.
Problem
Adbirt’s high-traffic advertising platform ran on shared web hosting, which limited uptime and growth.
What I did
Reworked the GitLab CI and Jenkins pipelines, moved the infrastructure onto code (AWS with Terraform, Pulumi and CloudFormation), and ran Kubernetes workloads with Helm and GitOps through Argo CD. I also built a failover that restarts crashed backend processes on its own.
What I did
Built callback queueing (Lambda, DynamoDB, outbound calls), two-way SMS with Amazon Pinpoint and HIPAA-compliant eligibility checks. Put a DynamoDB cache behind API Gateway and Lambda and load-tested it with k6. Built a CodePipeline that ships only the prompt files that changed.
What I did
Led the move to Google Cloud, built REST APIs for third-party integrations and led a small team. I still maintain Adbirt’s AWS bidding backend today.
Result
Deploys went from about 30 minutes to under 10 (about 66% faster), and crashed services came back without anyone being paged.
Result
Faster IVR responses that stay within the API’s limit, and smaller, safer releases.
Result
The platform is live at adbirt.com on cloud infrastructure, with integrations partners can plug into.
PROOF
Valid to 2028.
1.
A 20-minute call about your pipeline, your AWS setup and what is slowing you down.
2.
A written scope within 24 hours: what will be done, in how many days, at what fixed price.
3.
A 50% deposit to start (Sprint M: 40%).
4.
Work in your repo, under your access controls.
5.
Paid by US bank transfer (ACH) or wire.
Tell us what is slow or fragile in your deploys. You get a written scope within 24 hours.
Websites, apps, cloud, automation and AI for businesses in Nigeria and anywhere else. We build it, host it, watch it and keep it running, and explain everything in plain language.
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