DevOps in platform engineering
Summary
Second DevOps engineer at a company whose software helps water-safety professionals keep Legionella out of buildings. Day to day: run GKE/Kubernetes on Google Cloud via Terraform and Helmfile, own GitLab CI/CD, data services, monitoring and on-call, using AI agents daily. Full-time, based in Amsterdam.
Описание
Water-safety professionals use our software to keep Legionella out of the buildings where people live and work. Behind it runs a platform on Google Cloud, Kubernetes, Cloudflare and GitLab CI. Not managed by clicking around in consoles. Managed in code, through review, with AI agents at your side every day. We have 1 DevOps engineer today. You’re the second. What you design is what runs in production. That’s where you come in.
Задачи
In your first 3 months, you know the platform inside out, join the on-call rotation and ship changes through Terraform and Helmfile In your first 6 months, you lead whole workstreams end to end, and developers work safely with agents thanks to guardrails you built In your first 12 months, every change is code, every restore is tested, and audit evidence comes out of routine work Run Kubernetes on Google Cloud: GKE and Helmfile releases, upgrades, capacity and cost Use AI agents daily to investigate incidents, automate operations and change infrastructure. Then build the MCP servers, skills and guardrails so developers can do the same. Manage Google Cloud, Cloudflare and GitLab in Terraform. No changes by hand. Own CI/CD: shared GitLab CI templates, image builds, runners, preview environments and mobile builds Keep data services safe: Cloud SQL, Redis, RabbitMQ, Kafka and Elasticsearch, with backups and tested restores Lead monitoring, alerting, on-call and post-mortems, plus the IAM, secrets and evidence behind SOC 2, Cyber Essentials and ISO 27001
Требования
You debug from evidence, not hunches. And you reach for an AI agent before you reach for the console. 4+ years in DevOps, SRE or platform engineering, including 2+ years running production Kubernetes Daily, hands‑on use of AI coding agents like Claude Code, with sound judgement about review and guardrails Strong Terraform and Helm, and hands‑on Google Cloud: GKE, Cloud SQL, IAM and networking CI/CD pipelines and runners you built and maintained, not only used Production experience with backups and restores, useful alerts, least privilege and honest post-mortems Solid Linux, networking and scripting in Bash, Python or Go, and clear written English Будет плюсом: Cloudflare WAF, Zero Trust and Workers, managed in Terraform; SOC 2, ISO 27001 or Cyber Essentials experience; Building MCP servers, agent skills or guardrails for coding agents
Условия
A full-time role, based in Amsterdam Real ownership. What you design is what runs in production. AI agents as the core of the job, nota sideexperiment
