Cloud & DevOps Engineer | AWS · Ansible · Terraform · K8s | Training the Next Generation of African DevOps Engineers | Open to Remote Roles
I build infrastructure that doesn't break at 2 AM.
15 years running a cybercafe taught me something I still carry into every deployment: real users don't care about your stack. They care that things just work. That pulled me from managing physical machines into automating cloud infrastructure, and it's why I'm particular about building systems that hold up under pressure.
Today I help remote teams (UK, US, EMEA) stop SSH-ing into prod. I turn manual, 3 AM-breaking deploys into 1-min automated pipelines: Lint → Dry-Run → Deploy with GitHub Actions + Ansible + Terraform.
Ansible is where I've gone deepest. I've built full multi-service deployment pipelines, debugged real Nginx and MySQL production issues, and turned that experience into free training that engineers across Africa are actually using.
Real Proof:
ansible_practical— Run #1 Failed 2m 11s ❌ → Run #2 Passed 1m 18s ✅
Live: https://github.com/nkydigitech/ansible_practical/actions | Code: https://github.com/nkydigitech/ansible_practical
| Category | Tools & Technologies |
|---|---|
| Cloud Platforms | AWS (EC2, RDS, VPC, IAM, ALB, S3) |
| Infrastructure as Code | Terraform, Ansible |
| Containerization | Docker, Kubernetes (k3s) |
| CI/CD Pipelines | GitHub Actions (yamllint, ansible-lint, syntax-check, --check --diff), Jenkins |
| Agentic AI / LLMs | Claude, LangChain, MCP, Groq/Llama — Real: KB Auto-Builder |
| Monitoring & Logging | Datadog, Prometheus, Grafana |
| Scripting & OS | Python, Bash, Linux (Ubuntu), Nginx, MySQL |
Real projects. Real deployments. Live in production.
🔗 https://github.com/nkydigitech/ansible_practical
Lint → Dry-Run → Deploy template reused as team standard. 6 checks before prod, zero SSH. This is the pipeline from my LinkedIn post.
🔗 https://github.com/nkydigitech/book-review-app
Production-grade, highly available deployment of a three-tier web application on AWS — zero manual console steps, everything automated end-to-end.
- Stack: Terraform, AWS EKS, RDS Aurora (MySQL-compatible), Azure DevOps Pipelines, Kubernetes, Docker
- Infrastructure built: EKS cluster with managed worker nodes, Aurora MySQL with security group controls, Terraform modules
- Pipeline: Azure DevOps CI/CD — Terraform infra provisioning + app deployment to EKS
- Architecture: Three-tier (frontend + backend on EKS, Aurora MySQL), exposed via AWS LoadBalancer
- Outcome: Fully automated path from code push to live app
🔗 https://nkydigitech.github.io/ansible-guide
A structured 15-module Ansible curriculum — beginner to production-ready — built with MkDocs Material.
- Stack: MkDocs Material 9.7.6, GitHub Pages, YAML, Shell
- Coverage: Ad-hoc Commands → Inventory → Playbooks → Roles → Jinja2 Templates → Vault (AES-256) → Dynamic Inventory → Collections → Capstone
- Built for: DevOps students who need real structure
🔗 https://nkydigitech.github.io/ansible-lab
A hands-on lab companion with 5 core modules, 4 exercises with real terminal output, and a full cheatsheet — 100% free.
- Stack: HTML, GitHub Pages
- Labs: Nginx deployment (idempotency demo), Multi-role project, Vault AES-256, Ansible Galaxy roles
- Modules: Fundamentals, Playbooks & Variables, Roles, Vault & Security, Galaxy & Dynamic Inventory
🔗 https://nkydigitech.github.io/ultimate-devops-learning-hub
A 4-phase DevOps curriculum covering cloud fundamentals, IaC, containers and orchestration, and Agentic AI + MCP.
- Stack: HTML, GitHub Pages, Python
- Phases: Cloud & Linux Fundamentals → IaC (Terraform & Ansible) → Docker & Kubernetes → Agentic AI + MCP
- Built for: African engineers who want a complete path from zero to production-ready
🔗 https://github.com/nkydigitech/dmi-cohort2-terraform-assignments
Full 3-tier AWS infrastructure (EC2 + RDS + ALB) using Terraform — 33 resources provisioned automatically, zero manual setup.
- Stack: Terraform, AWS (EC2, RDS, VPC, IAM, ALB, S3)
- What it proves: End-to-end infra automation — VPC to ALB to RDS, all in code
A Python-based AI agent leveraging Groq's Llama model and the Notion API to auto-generate structured DevOps knowledge base entries.
- Stack: Python, Groq Llama, Notion API, MCP
- What it does: Turns hours of manual docs into 30-second automated workflow. Submitted to Notion MCP Challenge on DEV.to — Real project, free tools only.
🔗 https://georgelcancerfoundation.org
Full website build and deployment for a Nigerian cancer advocacy foundation.
- Stack: HTML, CSS, GitHub Pages, Custom Domain
- Engineering work: DNS migration from EasyWP to GitHub Pages, custom domain, HTTPS, full production deployment
- Impact: Live site serving health nonprofit — 99.9% uptime, collaboration with JUTH and Ministry of Health
I believe reliability is a mindset. As a Technical Lead & Mentor at DevOps Micro Internship (DMI):
- Auditing 40+ IaC repositories for production-grade quality
- Guiding 30+ engineers through microservices and cloud orchestration
- Building free, open-source training materials that engineers across Africa actually use
If you're looking for a Cloud & DevOps Engineer who can architect, automate, and document production infrastructure that scales — let's talk. Open to remote roles.
- LinkedIn: https://www.linkedin.com/in/nkechiahanonye
- Portfolio: https://nkydigitech.github.io/nky-portfolio/
- Email: nahanonye@gmail.com
"Reliability isn't a feature — it's the product."