Platform & DevOps Engineer — Sustainable Data SaaS

Wolk; Utrecht; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Impactful work

Flexible remote options

MacBook Pro

35 vacation days

Office Utrecht

LLM tokens for work

Job summary

Wolk is building a sovereign data & AI platform and a cloud-native infrastructure to support sustainable innovation. You will design, implement, and maintain cloud infrastructure and CI/CD pipelines for clients and Wolk's Databaas product in a hybrid work setup across Europe.

You will work with Kubernetes, OpenTofu and Terraform, and collaborate with data/AI engineers to ensure robust, scalable environments and customer-friendly on-call readiness.

Qualifications

• 4+ years in a DevOps/platform engineering/infrastructure role.
• Strong communication skills in English.
• Kubernetes and Docker are core tools you use daily.
• Hands-on with CI/CD tools: GitHub Actions, GitLab CI and ArgoCD.
• IaC tools: OpenTofu, Terraform or similar.
• Cloud-agnostic across European providers (e.g., Scaleway).

Responsibilities

• Design, build and maintain cloud infra and CI/CD pipelines for clients and products.
• Shape Databaas platform architecture and SaaS rollout.
• Work with IaC to keep environments reproducible and scalable.
• Set up and manage Kubernetes clusters across multiple environments.
• Collaborate with data and AI engineers to ensure reliable infra.
• Engage with clients to translate infra needs into solutions.
• Be a proactive, decision-taking team player.
• Occasionally cover on-call shifts.

Skills

DevOps experience

Communicator

English fluency

Tools

GitHub Actions

GitLab CI

ArgoCD

OpenTofu

Terraform

Job description

Wolk is building a sovereign data & AI platform and a cloud-native infrastructure to support sustainable innovation. You will design, implement, and maintain cloud infrastructure and CI/CD pipelines for clients and Wolk's Databaas product in a hybrid work setup across Europe.

You will work with Kubernetes, OpenTofu and Terraform, and collaborate with data/AI engineers to ensure robust, scalable environments and customer-friendly on-call readiness.