justinboodhan.dev
ALL SYSTEMS OPERATIONAL last verified · just now

SYSTEM: Justin Boodhan

DevOps Engineer — Infrastructure, Automation, Reliability

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About

I'm a Junior DevOps Engineer who has completed 2 year DevOps Engineering apprenticeship at Sky. I worked across the full DevOps life cycle — from proof of concept, coding and testing; through to deployment, monitoring, and incident response.

I worked within the Operations Automations team building systems that are bespoke, reproducible & observable for other teams. I have experience with: defining infrastructure as code, creating and deploying pipelines, monitoring systems so problems surface before they become outages, creating scripts to automate repetitive tasks, and troubleshooting issues across the stack.

With the rise of AI, I'm currently exploring how to leverage AI to improve DevOps practices, enhance automation, and optimize system performance. It's an exciting time to be in the field, and I'm eager to contribute to the evolution of DevOps in this new era of technology.

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Skills

Cloud & Infrastructure

  • AWS
  • Terraform
  • Docker
  • Kubernetes
  • MySQL

Automation & CI/CD

  • Ansible
  • CI/CD Pipelines
  • Git
  • Python
  • Bash

Observability

  • Grafana
  • Prometheus
  • AWS CloudWatch
  • Linux
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Projects

justinboodhan.dev

this site

This project was a personal initiative to build and host my own portfolio website, justinboodhan.dev, where I took ownership of the solution end-to-end, from domain and DNS setup through to a fully automated production deployment.

It involved provisioning the complete AWS hosting infrastructure (Route 53, S3, CloudFront, and ACM) using Terraform, with a private, access-controlled origin secured through CloudFront Origin Access Control rather than public bucket hosting. I designed a CI/CD pipeline using GitHub Actions to automatically deploy content changes on every push, while keeping infrastructure changes as a deliberate, manually reviewed step, and configured a scoped IAM identity so the pipeline holds only the exact permissions it needs.

The result is a secure, cost-optimised, and fully reproducible production site, with the entire architecture (DNS, TLS, CDN, and deployment pipeline) defined and version-controlled as code.

TerraformAWS S3CloudFrontRoute 53GitHub Actions

Apprenticeship End-Point Assessment Project

apprenticeship

This project was completed as part of my DevOps Engineering apprenticeship at Sky, where I took ownership of delivering the solution from initial proof of concept through to production.

It involved developing a custom Python automation tool to securely manage the ingestion of highly confidential data into a production MySQL database. I designed and implemented a CI/CD pipeline to automate testing and deployment, provisioned the supporting AWS infrastructure using Terraform, and automated configuration and deployment using Ansible.

AWS CloudWatch was also integrated to provide centralised logging, monitoring, and alerting, resulting in a secure, reliable, and maintainable production solution.

Gitlab CI/CDGitPythonBashLinuxTerraformAWSAnsibleCloudwatchmySQL
$ curl -O cv.pdf

CV

Download a full copy of my CV.

download cv
$ ping justin

Contact

Open to DevOps, Cloud Engineering, SRE, and Platform Engineering roles — feel free to reach out.