Senior DevOps Engineer — Cloud, Kubernetes & Automation

Verisk Analytics, Inc.; Málaga; On-site; EUR 50,000 - 55,000; Full time

Job summary

Verisk Analytics, Inc. is seeking a Senior DevOps Engineer to shape how our production platforms are built, automated, secured, and operated. You will work across AWS, Kubernetes, Infrastructure as Code, CI/CD, automation, and observability, delivering reliable software at scale.

This hands-on role offers opportunities to influence engineering standards, reusable infrastructure patterns, and AI governance, with real impact across multiple teams and platforms.

Qualifications

• You’ll take ownership of production environments and automate across layers.
• Experience with cloud platforms, container orchestration, and IaC tooling.
• Ability to diagnose issues across infrastructure and applications.

Responsibilities

• Design, build, and manage AWS cloud infrastructure and Kubernetes platforms in production.
• Develop reusable Infrastructure as Code patterns using Terraform and OpenTofu.
• Automate to reduce manual effort and improve consistency across environments.
• Enhance CI/CD pipelines, deployment processes, and quality controls.
• Improve developer experience via automation and self-service tooling.
• Promote engineering standards across infra, security, and software delivery.
• Support AI technology adoption with governance and observability.
• Strengthen monitoring, alerting, and operational visibility for platforms.
• Troubleshoot complex infrastructure, deployment, and configuration issues.
• Provide advanced technical support and mentor peers.

Skills

DevOps ownership

CI/CD practices

Automation focus

Problem solving

Communication

Tools

AWS

Kubernetes

Terraform

Ansible

Job description

Verisk Analytics, Inc. is seeking a Senior DevOps Engineer to shape how our production platforms are built, automated, secured, and operated. You will work across AWS, Kubernetes, Infrastructure as Code, CI/CD, automation, and observability, delivering reliable software at scale.

This hands-on role offers opportunities to influence engineering standards, reusable infrastructure patterns, and AI governance, with real impact across multiple teams and platforms.