I've been trying to find the motivation to do a write up on my AI lab, and this is just what I needed. Thanks for sharing. My setup is a similar idea, just with n8n/git/argo/k3s. It's mainly for automated workflows that Qwen or Gemma4 can handle.
I spent the last 9 years at Atlassian providing internal platform support for engineering teams. In that time I've debugged failed deployments, CI/CD errors, API issues, AWS related issues, policy as code, Jira automation, documentation tooling, and pretty much every other aspect of the lifecycle except writing the actual code.
Looking for: Full time developer/infrastructure support roles where I can continue assisting engineers and improving the developer experience. Mission-driven organizations a strong plus.
I'm very much a generalist, but some technologies I frequently work with: AWS, Docker, Bitbucket Pipelines, Splunk, SignalFx, LLM tooling(Rovo, Claude Code,Codex), local llm integration, Jira/JSM. Literate with Python/Go/JS/Javascript
15 years in tech doing a job that has a lot of names depending on the company — platform engineer, support engineer, internal developer advocate — but always the same core function: making sure the humans using internal infrastructure aren't left to figure it out alone. At Atlassian I was embedded with the security platform team, sitting in sprint planning, tracking support patterns, and making sure user pain shaped the roadmap rather than being tossed in the backlog pile.
If your platform team is building great things that nobody can figure out how to use or troubleshoot, that's the problem I'm good at solving.