About the role
Mendral is The AI DevOps Engineer. Three always-on agents handle security, reliability, and performance, plus custom automations for anything else specific to your stack. From the team behind Docker and Dagger (YC W19).
We run in production at PostHog, Metabase, Luminai, Inngest, Clipboard Health, Blaxel, among others. Across millions of CI jobs, 73% of failures auto-match to known issues. PostHog accepted 104 fixes from Mendral in a single month.
The Role
We're looking for an engineer who writes. Someone who can sit in our codebase, understand how the agents work, and publish the kind of technical posts that other engineers actually read and share. We're not hiring a marketer. We're hiring an engineer whose job is to make other engineers smarter about CI, agents, and DevOps. Pipeline follows from great content. We're not asking you to measure it, build funnels around it, or chase attribution.
What you'll work on
- Technical blog posts that earn the front page of HN. Examples we've shipped: "We gave terabytes of CI logs to an LLM" (226 points), "What CI Actually Looks Like at a 100-Person Team," "Anatomy of a Production AI Agent."
- Conference talks. DevOpsDays, KubeCon, AI engineering events, anywhere senior engineers go to hear from peers.
- Meetups. Attending, speaking, hanging out with practitioners and bringing back what they're actually struggling with.
- Open-source contributions and code samples. Small, sharp repos that demonstrate ideas from our posts.
- Product demos. Recorded for the site, live for engineering teams who want a deeper look at the system.
- Customer engineering deep-dives. Working with teams at PostHog, Metabase, and others to write about real implementations at scale.
- Community presence on HN, Reddit, and X. Engaging engineer-to-engineer, not broadcasting.
What we're looking for
- Engineering background. You've written code in production. You can read a CI log, reason about a flaky test, and write about it without translation help from us.
