Join Zerops as Technical Developer Relations Engineer - Recipes & Infrastructure
Zerops is a PaaS built from scratch on our own hardware — system containers, managed services, private networking, real environment parity from dev to production. Where others go zero-config, we go sensible config. The product is ready, the playbook is defined — we're building a DevRel team to execute it.
What you'll do
Recipe engineering. A recipe isn't a starter template — it's productized DevOps knowledge, a tested topology with correct configurations that would take a senior engineer days to set up manually. We're building an AI-powered control panel that generates production-grade `zerops.yml` configurations from a single-source-of-truth knowledge base. ZCP is coming online now — you'd be shaping how the pipeline works, not just reviewing output. You generate recipes through ZCP, then verify they're production-ready: service connectivity, resource allocations, scaling, backups. A Laravel + Redis + Meilisearch stack needs to work the way a senior DevOps engineer would set it up, not just boot.
Expert coordination. We work with external framework specialists who deep-dive into specific recipes and verify production-readiness from real-world usage. You scope the work, review their output, and make sure what ships meets the bar.
Software recipes. Build and curate production-ready one-click deployments for self-hosted open source software — auth, observability, CMS, ecommerce, automation, backend-as-a-service, project management. These projects ship a Docker image and docker compose up — great for testing, useless for production. We provide the version that actually runs at scale, with a guide on maintaining and upgrading it.
Technical content. Honest comparisons ("Railway to Zerops — what you lose and what you gain"), migration guides that actually help, deep dives into why environment parity matters on day 365 of a project. Written and video — a couple of high-quality pieces per month to start.
Technical authority. Answer real deployment questions in developer communities — actual debugging help, actual architectural advice. Mention Zerops when it's relevant. Don't when it isn't.
Building the AI Agent Story. As ZCP ships publicly, document how AI coding agents (Claude Code, Cursor, Codex) interact with real infrastructure. What works, what breaks, what's missing. Starts as "build in public" content, grows into a differentiator once there's a real technical hook.
What we need from you
This is a high-ownership role for someone who wants to move beyond zero-config toys and build infrastructure that actually scales on day 365.
Strong DevOps fundamentals — Docker, Linux, networking, storage. Hands-on experience in at least two or three ecosystems (Node.js, PHP, Python, Go, Rust). You need to know enough to verify a recipe is production-ready, not just bootable.
You understand why a real managed database is better than a mock, and why a YAML showing the full topology is a feature, not complexity. If your reaction to `zerops.yml` is "finally, I can see what's configured" — right person. "Why is this so complicated?" — you'll be happier elsewhere.
You produce technical content that holds up. No-fluff, honest, technically accurate. An existing audience is a bonus, not a requirement.
Comfortable with AI tooling as a force multiplier — you'll use it daily for recipe generation, content drafting, and workflow automation.
The team you're joining
This is a DevRel team of four.
Francesco Ciulla leads DevRel. He's both technical and public-facing — produces content, gives talks at conferences, networks with influencers and framework communities, coordinates expert partnerships. Not just managing, building alongside you.
A community-focused DevRel (hired in parallel) handles Discord, social media, and content distribution — they take your technical output and make sure it reaches developers where they are.
Aleš, the CEO, does both development and devrel — he'll be part of the team directly.
AI is a core part of how we work. ZCP generates recipes from our knowledge base. We use AI tooling across content production, documentation, and workflow. This isn't a team that's cautious about AI — it's a team that ships with it.
Zerops is ~15 people, remote, building from our own datacenters with the US region live and Asia on the way. The product is solid, the strategy is set — this hire is about execution, which means real ownership from day one.
Are you ready to help us build production‑grade infrastructure and a real developer community for the AI era?
Send your story to careers@zerops.io and tell us why this role caught your attention. We read every single application.
careers@zerops.io→Try Zerops in < 5 minutes without installing or forking anything — deploy one of our curated recipes, which are examples covering the full development lifecycle from local dev through staging to production, with built-in seeding, migrations, backups and scaling.
Your favorite language / framework not covered by our recipes? Deploy the Showcase recipe, or join Zerops Discord and we'll help you out.
Production-ready image processing pipeline showcasing distributed architecture on Zerops — a Bun + React frontend with real-time WebSocket updates and live architecture visualization, a Python worker for async image processing via NATS, backed by PostgreSQL, Valkey, and S3-compatible object storage.