justinboodhan.dev
ALL SYSTEMS OPERATIONAL last verified · just now

SYSTEM: Justin Boodhan

DevOps Engineer — Automate. Deploy. Observe. Improve.

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About

I'm a Junior DevOps Engineer who completed a two-year DevOps Engineering apprenticeship at Sky, gaining hands-on experience across the full DevOps lifecycle — from proof of concept, development, and testing through to deployment, monitoring, and incident response.

As part of the Operations Automation team, I worked on building bespoke, reproducible, and observable systems used by other teams across the organisation. My experience includes defining infrastructure as code, designing and implementing CI/CD pipelines, developing automation tooling to streamline repetitive processes, implementing monitoring and observability to proactively identify issues, and troubleshooting problems across the technology stack.

I'm also actively exploring how AI can complement modern DevOps practices — particularly in automation, observability, incident response, and operational efficiency. As the discipline continues to evolve, I'm keen to combine strong DevOps fundamentals with emerging technologies to build reliable, scalable, and increasingly intelligent systems.

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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, 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
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Contact

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