Lead DevOps Architect for AI-Driven Cloud Platforms

Wolters Kluwer; Bitritto; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Wolters Kluwer is seeking a Lead DevOps Engineer to design and automate cloud infrastructure across Azure and AWS, leveraging IaC and modern CI/CD pipelines. You will mentor a team of DevOps engineers, drive SRE practices, and ensure security-by-design across the SDLC.

The role focuses on building scalable, reliable, and secure deployment pipelines, with emphasis on automation, observability, and collaboration with product teams to deliver high-quality cloud-native solutions.

Qualifications

• Hold at least two Azure and/or AWS Certifications.
• Bachelor’s in Engineering or Master’s in Computer Science.
• 10+ years of experience in DevOps/SRE/Release Engineering or software engineering.

Responsabilités

• Design, implement, and automate cloud infrastructure across Azure and AWS using IaC.
• Define, build, and maintain CI/CD pipelines to improve deployment frequency and reliability.
• Lead DevSecOps and IaC practices across Service Operations and Delivery.
• Mentor and lead DevOps engineers across multiple teams.
• Embed security-by-design across the SDLC and manage vulnerability practices.
• Drive continuous improvement and incident resolution with root cause analysis.

Connaissances

DevOps leadership

SRE principles

Automation

Python scripting

Cloud design

CI/CD practices

Stakeholder communication

Incident management

Formation

Bachelor’s or Master’s in Engineering or Computer Science

Outils

Terraform

Ansible

Docker

Kubernetes (AKS/EKS)

Azure DevOps

GitHub

Jenkins

CloudFormation

Datadog

Grafana

Prometheus

Description du poste

Wolters Kluwer is seeking a Lead DevOps Engineer to design and automate cloud infrastructure across Azure and AWS, leveraging IaC and modern CI/CD pipelines. You will mentor a team of DevOps engineers, drive SRE practices, and ensure security-by-design across the SDLC.

The role focuses on building scalable, reliable, and secure deployment pipelines, with emphasis on automation, observability, and collaboration with product teams to deliver high-quality cloud-native solutions.