you have a good chance of being that person if you check as many of these as possible: 5+ years as a DevOps Engineer, with proven public cloud experience - preferably GCP. You're AI-native. You already use AI tools to move faster. You've probably built something with LLM APIs, agent frameworks, or MCP servers. And critically: you know when to verify the output before trusting it. Deep hands-on experience with the core toolkit: Kubernetes, Docker, Terraform, and complex CI/CD pipelines. Strong scripting skills (Bash, Python) for automation. You've operated micro-services in production at scale - observability (Datadog, Prometheus, Grafana) and large-scale messaging (Pub/Sub, Kafka). You make good calls under uncertainty. You've been the person in the room when things were broken and the data was unclear. You didn't freeze. Talk nerdy to me. Don't mind if we do. Our tech stack: Cloud: GCP - GKE, Pub/Sub, BigQuery, Cloud Functions. We are all-in. CI/CD: GitHub Actions, Terraform + Argo CD Observability: Datadog (our primary) Agentic tooling: Claude Code with an in-house plugin marketplace - skills, MCP servers, CLIs Languages: Python, TypeScript, Go Data: MySQL, Redis, BigQuery, ClickHouse Thinking of a great addition? Let's do it. Requirements
