I learn by doing — spinning up real environments on AWS, containerising with Docker & Kubernetes, and wiring up CI/CD to ship it. Getting sharper with every project.
Junior Cloud & DevOps Engineer
I'm an IT graduate from Singapore Polytechnic, focused on cloud infrastructure and open to junior Cloud / DevOps roles. I learn by building — standing up real environments on AWS, wiring them together the way production actually works, and getting fluent on the Linux command line along the way.
What I care about is doing the practical work well: secure, reproducible, and actually shipped.
Right now I'm going deeper — studying for the AWS Solutions Architect – Associate and taking my containers into Kubernetes.
Developed and maintained internal web applications and services for operational use. Worked with Azure cloud infrastructure, building integrations using C# and ASP.NET — real-world exposure to enterprise-scale deployments and cloud-hosted services.
Studied software development, networking fundamentals, databases and systems design. Built full-stack group projects and picked up collaborative engineering workflows.
Hands-on builds where I learn by doing — more shipping soon.
An automated deployment pipeline for this very portfolio — a single git push ships the site to production. A GitHub webhook triggers Jenkins, which gates on the commit message and deploys over SSH to AWS EC2. Built with a least-privilege Linux user and scoped sudo. Full write-up in the case study →
A static site hosted the production way on AWS — not just files in a bucket. A private S3 origin behind a CloudFront CDN, HTTPS via ACM, a custom subdomain on Route 53, and a least-privilege IAM user to deploy it. Live at mini-static.shinn.life.
A self-healing, auto-scaling web tier on AWS. One Application Load Balancer routes /about-me and /what-am-i-doing to completely separate backends purely by URL path — each behind its own Auto Scaling Group across 3 AZs — over HTTPS on a custom domain via ACM & Route 53. Built in the console for SAA prep. Full write-up in the case study →
A hands-on suite of four progressive Docker projects — packaging a single app, then orchestrating a full polyglot microservices system. I wrote every Dockerfile, .dockerignore and docker-compose.yml, with worked solutions on per-lab branches.
Validates a working foundation in containerisation — building and running containers, writing Dockerfiles, managing images, volumes & networking, and orchestrating multi-container apps with Docker Compose.
Covers the essentials of working on Linux — the command line and filesystem, users & permissions, processes, package management, and shell basics across the major distribution families.
Builds on Python fundamentals — data visualisation with Matplotlib, dictionaries & pandas DataFrames, logic and control flow, loops, and hands-on data manipulation.
Have a look at the quick read — or just email me.
Open to remote. Reviewing my work? My GitHub is where the hands-on projects & labs live — and email is the fastest way to reach me.
