DevOps Intern at Springer Capital · Remote, Chicago, USA
I ship Dockerized apps through GitHub Actions to AWS, then watch them with health checks, logs and alerts. I learn by breaking real systems and fixing them.
Every push
Triggers CI, then deploys when green
3
AWS deployments shipped end to end
1,000+
CI errors traced to one root cause
Observable
Health checks, logs & alerts
My work sits between application code and a running system: CI pipelines, Docker images, AWS deployments, and the debugging that starts when a green pipeline still is not reachable.
I am a DevOps Intern at Springer Capital. Every project below is a real pipeline or server that broke at least once, and I write down what broke, because that is where I learn the most.
$ ship every change
push, lint, test, build, deploy
$ keep it reliable
systemd, rollouts, stable endpoints
$ keep it visible
Loki logs, uptime checks, alerts
$ debug before guessing
nc, curl, Security Groups, logs
Four projects that show how I connect deployment, reliability and observability, with the real problems I hit along the way.
Also shipped: a Grafana Loki label-cardinality audit (Jira DEV-290) and an n8n evaluation in an isolated staging environment.
PRODUCTION EVIDENCE