I'm a DevOps & Cloud Engineer in Lagos with 3+ years of experience. I lead a team of 5 engineers and own the full path from commit to production on AWS. I care about three things: security by default, cost you can explain, and automation that removes the 2 a.m. page.
I'm based in Lagos (WAT, UTC+1) and open to remote roles, working asynchronously with distributed teams.
Outside work I run a Kubernetes homelab, build developer tools, write about what I learn on DEV, and go to the gym.
- 🏗️ Led a team of 5 to containerise 5 monolithic apps and split CI/CD into isolated stages, speeding up releases and cutting MTTR (how we did it)
- ⚡ Cut deploy time on an 8-service microservices monorepo from 15 min to under 5 min, even on a cold cache. Moved builds to self-hosted runners with parallel multi-process builds instead of GitHub's matrix builds, added proper Docker layer caching, and a scheduled workflow that warms the cache each morning. GitHub Actions overage charges all but disappeared
- 🔐 Ran the company's NDPA compliance program end to end, from controls to full audit
- 📊 Built centralised observability (Grafana, Prometheus, Loki) for proactive incident detection
- ☸️ Run workloads on AWS EKS with ArgoCD GitOps, Helm and Kustomize
🔌 Relay Your SSH and remote desktop connections, organised, in one fast desktop app. Built for people who connect to many servers every day, with a
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My DevOps best practices, packaged as agent skills, so an AI agent builds infrastructure the way I would. Ask Claude Code or Antigravity to "dockerize this API" or "host this SPA on S3 + CloudFront" and you get pinned images, OIDC instead of long-lived keys, and deploys that can roll back, not something that only works once. The skills are kept correct: every external fact is verified and sourced, a validator checks every pull request, and a weekly job flags stale versions.
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Two-tier web app containerised with Docker and shipped through a Jenkins CI/CD pipeline, with architecture diagrams and a full walkthrough.
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🏠 HomelabProduction-style platform on k3s: ArgoCD GitOps, MetalLB, cert-manager, Harbor registry, Vault, Cloudflared and Uptime Kuma, all declared in Git.
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Five-service stack containerised and deployed to AWS EKS with Terraform, GitHub Actions and ArgoCD.
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Prometheus scraping cluster and app metrics, long-term storage in Thanos + MinIO (S3), visualised in Grafana.
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I write about what I build and run on DEV:
- Your AI agent skills are probably out of date. Mine were. Here's how I handled it.
- How to Properly Set Up K3s on Your Homelab or Server (2026 Edition)
- How I Containerised 5 Monoliths and Deployed Them to EKS
Let's build something reliable. → preciousokpor@proton.me



