Senior DevOps Engineer: Cloud, Kubernetes & AI-Driven Infra

Unity

København

On-site

DKK 594,638 - 743,345

Full time

14 days+

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Benefits offered by this job

Health insurance
Competitive retirement/pension plans
Generous vacation and personal days
Commute subsidy
Employee stock ownership

Job summary

Unity Technologies IT Engineering is seeking a DevOps Engineer to drive modern infrastructure with automation, IaC, and advanced CI/CD practices. You will manage multi-cloud, containerized solutions with a focus on GKE, while integrating AI tooling to boost efficiency.

The role demands strong Kubernetes expertise, Terraform/Ansible proficiency, and production-grade Python/Go coding for automation. You’ll collaborate across regions to design scalable platforms, implement robust monitoring, and

Qualifications

  • Experience with Kubernetes (GKE) and containerization.
  • Proven experience with IaC tools such as Terraform and Ansible.
  • Strong CI/CD background with ArgoCD, GitHub Actions, Jenkins.
  • Cloud environments (GCP, AWS, or Azure).
  • Ability to write production-grade code in Python or Go for automation.

Responsibilities

  • Design, implement, and maintain scalable cloud infrastructure using IaC principles.
  • Build containerized applications and manage Kubernetes clusters, focusing on Google Kubernetes Engine (GKE).
  • Develop and maintain robust CI/CD pipelines with ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
  • Drive automation across IT infrastructure and operations to minimize manual effort and improve reliability.
  • Explore and implement AI tooling to improve operational efficiency and security.

Skills

Kubernetes
Terraform
Ansible
ArgoCD
GitHub Actions
Jenkins
GKE
Cloud (GCP/AWS/AZURE)
Python
Go

Tools

Docker
Elastic Stack
Prometheus/Grafana

Job description

Unity Technologies IT Engineering is seeking a DevOps Engineer to drive modern infrastructure with automation, IaC, and advanced CI/CD practices. You will manage multi-cloud, containerized solutions with a focus on GKE, while integrating AI tooling to boost efficiency.

The role demands strong Kubernetes expertise, Terraform/Ansible proficiency, and production-grade Python/Go coding for automation. You’ll collaborate across regions to design scalable platforms, implement robust monitoring, and

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