Justin Boodhan — DevOps Engineer

$ whoami

About

I'm a Junior DevOps Engineer who completed a two-year DevOps Engineering apprenticeship at Sky, where I gained practical experience delivering solutions across the entire engineering lifecycle, from initial proof of concept and development through to production deployment, observability, and ongoing operational support.

Within Sky's Operations Automation team, I contributed to the design and delivery of reliable, reproducible, and observable systems that supported 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 particularly interested in the convergence of DevOps and artificial intelligence. As AI reshapes the way modern infrastructure is built, operated, and maintained, I'm exploring how these technologies can enhance automation, observability, incident management, and engineering efficiency. My focus is on developing strong engineering fundamentals while continually adapting to the technologies shaping the future of the industry.

$ status --all

Skills

Cloud & Infrastructure

AWS
Terraform
Docker
Kubernetes
MySQL

Automation & CI/CD

Ansible
CI/CD Pipelines
Git
Python
Bash

Observability

Grafana
Prometheus
AWS CloudWatch
Linux

$ ls ~/projects

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

$ ping justin

Contact

Focused on opportunities across DevOps, Cloud Engineering, SRE, and Platform Engineering, with a particular interest in building and monitoring reliable, scalable, and well-automated systems. Always open to connecting with teams working on interesting engineering challenges.

email linkedin

SYSTEM: Justin Boodhan