Open to DevOps and Cloud Engineering opportunities

Professional portrait of Philip Oludolamu

AWS β€’ Terraform β€’ Kubernetes β€’ Observability

I Build Reliable Cloud Infrastructure and Production-Ready DevOps Systems on AWS

Hands-on DevOps and Cloud Engineer building AWS infrastructure, Kubernetes delivery workflows, CI/CD automation, and observability with a production-minded focus on reliability and operational clarity.

50+ GitHub Repositories
AWS Cloud Infrastructure Focus
CI/CD Automation & Delivery Workflows
Focus

AWS, Terraform, Kubernetes, CI/CD automation, observability, and production-style cloud delivery workflows.

Strength

Hands-on engineering work that moves from version control to live cloud deployment through repeatable infrastructure, deployment automation, and operational discipline.

Observability

Built monitoring and alerting workflows with Prometheus, Grafana, Alertmanager, Blackbox Exporter, and Slack notifications for operational visibility.

What I Deliver

I focus on the operational work that helps teams ship reliably and scale with confidence.

About Me

I design and automate cloud delivery systems that help teams release reliably, reduce manual work, and operate with confidence.

My hands-on work centers on AWS infrastructure engineering, Terraform-based infrastructure automation, Kubernetes delivery workflows, and CI/CD pipelines that move services from source control to stable deployment. I focus on building repeatable systems that reduce operational friction, improve release confidence, and make change safer over time.

Across portfolio and monitoring projects, I combine cloud delivery, observability, and reliability practices through production-style dashboards, alerting workflows, uptime monitoring, and infrastructure automation. I am looking for DevOps, cloud, and platform engineering roles where I can strengthen infrastructure, improve deployment workflows, and support operationally reliable systems at scale.

Core Skills

A practical toolset shaped by hands-on cloud, platform, and delivery projects.

Cloud & Infrastructure

AWS EC2 ECS EKS VPC Load Balancer Auto Scaling

Containers & Orchestration

Docker Kubernetes Helm Kustomize Kind ArgoCD

CI/CD & Automation

Git GitHub Actions Jenkins CI/CD Pipelines Shell Scripting

Infrastructure as Code

Terraform Modular Architecture

Platform & Delivery

S3 CloudFront ECR NGINX Static Hosting

Security & DevSecOps

Trivy Security Scanning

Monitoring & Observability

Prometheus Grafana Alertmanager Node Exporter Blackbox Exporter Slack Alerts

Systems & Scripting

Linux Bash

Featured Projects

Selected hands-on projects that demonstrate cloud automation, delivery engineering, security thinking, and production-style architecture.

CI/CD Pipeline Screenshot

πŸš€ Production-Ready Kubernetes CI/CD Platform

Last Updated Β· March 2026 Completed

Kubernetes Docker GitHub Actions Trivy

Engineered a Kubernetes CI/CD platform with Docker, GitHub Actions, and Trivy to automate container build, security scanning, and deployment workflows for safer, repeatable releases across environments.

Key Results

  • Automated build, scan, and deployment stages, reducing manual release effort by ~70%
  • Integrated Trivy image scanning to block vulnerable container images before cluster deployment
  • Standardized Kubernetes rollout steps in version-controlled workflows to improve release consistency and rollback readiness
View Code
Production observability and monitoring platform architecture

πŸ›°οΈ Production-Grade Observability & Uptime Monitoring Platform

Last Updated Β· May 2026 Completed

Prometheus Grafana Alertmanager PostgreSQL Docker Compose Slack Node.js Platform Engineering

Built a production-grade observability and uptime monitoring platform with Node.js, PostgreSQL, Prometheus, Grafana, Alertmanager, and Slack to deliver self-service monitoring workflows, real-time alerting, and standardized operational visibility.

Key Results

  • Engineered a self-service onboarding workflow that reduced manual monitoring setup effort by ~80% for new targets
  • Containerized the full monitoring stack with Docker Compose to standardize deployment across the API, database, Prometheus, Grafana, and Alertmanager
  • Implemented uptime, latency, and health alerting with Prometheus, Alertmanager, and Slack, enabling issue detection in about 1 minute
  • Centralized operational visibility through PostgreSQL-backed monitoring data and Grafana dashboards for uptime, response time, and failed-check trends
View Code
Production-Ready DevOps Portfolio Website monitoring dashboard

πŸ“‘ Production-Style DevOps Portfolio Platform

Last Updated Β· April 2026 Live

GitHub Actions Terraform CloudFront Prometheus Grafana Slack Alerts

Built a production-style DevOps portfolio platform on AWS with Terraform, GitHub Actions, CloudFront, ACM, and a custom domain, then added end-to-end monitoring and alerting with Prometheus, Grafana, Alertmanager, Blackbox Exporter, and Slack.

Key Results

  • Automated deployments from GitHub to AWS, reducing manual release effort by ~70% and improving delivery consistency
  • Provisioned HTTPS, CDN delivery, and domain routing as code with Terraform, CloudFront, ACM, and Namecheap
  • Implemented dashboards, website probes, and Slack alerting, enabling issue detection and notification in about 1 minute
  • Centralized delivery, observability, and documentation in one repository to improve visibility across uptime, latency, CPU, and memory metrics
Live Site View Code
AWS ECS Deployment

☁️ Containerized Web App Deployment on AWS ECS with Terraform

Last Updated Β· March 2026 Completed

Terraform AWS ECS Docker ECR Fargate

Provisioned a repeatable AWS ECS deployment stack with Terraform, ECR, and Fargate to deliver containerized workloads without managing servers and to simplify cloud application releases.

Key Results

  • Provisioned networking, registry, and compute as code, reducing environment setup time by ~60%
  • Published Docker images to Amazon ECR to standardize container packaging and deployment flow
  • Deployed services on ECS Fargate without managing servers, improving scaling simplicity and operational efficiency
View Code
WordPress Architecture

🌐 Scalable WordPress Deployment on AWS with Terraform

Last Updated Β· March 2026 Completed

AWS Terraform RDS EFS VPC Auto Scaling

Designed a production-style WordPress platform on AWS with Terraform, combining load balancing, auto scaling, shared storage, and managed database services to support resilient, scalable application delivery.

Key Results

  • Provisioned ALB, Auto Scaling, EFS, and RDS into one highly available architecture for stronger fault tolerance
  • Automated environment build with Terraform, reducing rebuild time by ~65% and improving repeatability
  • Segmented networking with public and private subnets to strengthen security and operational separation
View Code
GitHub Actions Deployment

🧩 Kubernetes Configuration Management with Kustomize & GitHub Actions

Last Updated Β· March 2026 Completed

Kubernetes Kustomize GitHub Actions AWS EKS

Managed Kubernetes manifests with Kustomize overlays and GitHub Actions to support environment-specific, version-controlled Kubernetes delivery workflows with cleaner configuration control and reduced drift across clusters.

Key Results

  • Automated manifest rollouts from GitHub, reducing manual deployment steps by ~60%
  • Separated dev, staging, and production configuration cleanly with Kustomize overlays
  • Improved release consistency and reduced configuration drift across environments
View Code
Jenkins CI/CD

πŸ” CI/CD Pipeline with Jenkins, Helm & Amazon EKS

Last Updated Β· March 2026 Completed

Jenkins Helm Kubernetes Terraform

Built a Jenkins-driven CI/CD workflow for applications deployed to Amazon EKS with Helm, combining pipeline automation, packaged releases, and repeatable Kubernetes deployment workflows.

Key Results

  • Automated build and release stages with Jenkins and Helm, reducing deployment time by ~55%
  • Packaged Kubernetes releases as Helm charts to simplify upgrades, rollback workflows, and version control
  • Deployed workloads to Amazon EKS through a consistent, repeatable pipeline
View Code
E-commerce

πŸ›’ MarketPeak E-Commerce Deployment on AWS

Last Updated Β· March 2026 Completed

AWS EC2 Linux

Deployed an e-commerce application on AWS EC2 and managed the environment through Linux-based operational workflows to support reliable application hosting and hands-on cloud administration.

Key Results

  • Provisioned and configured an EC2-hosted application environment for reliable web delivery
  • Executed Linux-based deployment and service management tasks, improving operational efficiency by ~40%
  • Strengthened troubleshooting and administration workflows for application hosting on AWS
View Code
Docker Kubernetes

πŸ“¦ Containerized Application Deployment with Docker & Kubernetes

Last Updated Β· March 2026 Completed

Docker Kubernetes Kind

Containerized and deployed an application with Docker and Kubernetes to create an end-to-end workflow for image packaging, orchestration, and service exposure in a local cluster.

Key Results

  • Built reusable Docker images to standardize application packaging and runtime behavior
  • Deployed services to Kubernetes with Kind, reducing local environment setup overhead by ~50%
  • Validated container-based release workflows for local orchestration and testing
View Code

Looking for more hands-on DevOps, cloud, and automation projects? Explore additional work on my GitHub profile.

View More on GitHub

Next Engineering Focus

I am now pushing deeper into platform engineering patterns that make cloud-native systems more scalable, repeatable, and operationally reliable.

Platform Engineering & Cloud-Native Reliability

With observability already delivered, my next focus is hardening Kubernetes platform workflows, deployment automation, and infrastructure lifecycle management patterns that support production-grade systems at scale.

  • Expand reusable Kubernetes platform workflows and delivery automation
  • Strengthen infrastructure lifecycle management and cloud-native deployment discipline
  • Continue building scalable observability systems with stronger reliability and operational guardrails

Why I Am a Strong Fit

Production-Minded

I focus on delivery workflows and infrastructure that reflect real operational expectations.

Infrastructure Discipline

I use Terraform and automation to make environments repeatable, reviewable, and easier to maintain.

Continuous Improvement

I care about security, observability, and the small operational details that make systems more trustworthy.

Resume & Experience

Prefer a quick recruiter-friendly summary? Download my resume for a concise overview of experience, technical strengths, and selected project impact.

PDF Resume

Download My Resume

Access a concise CV covering my DevOps, cloud infrastructure, CI/CD, and platform engineering experience in a format that is easy to review and share.

PDF β€’ 1 page β€’ 53 KB β€’ Updated April 2026

Looking for a DevOps Engineer with AWS, Terraform, Kubernetes, and CI/CD expertise? Let’s connect.

Let’s Build Scalable Systems Together

I’m open to DevOps Engineer, Cloud Engineer, and platform-focused roles where I can automate infrastructure, improve release workflows, and strengthen operational reliability.

You can also download my resume directly from the section above.