Lead Enterprise Software Engineer
Pubblicato il 11-09-2026 - WK in Roma
We are seeking a talented, collaborative, high-energy engineering professional with extensive technical expertise and a passion for automating infrastructure and deployment processes to help build, test, and release the next generation of our cloud-based AI-enabled Expert Solutions as part of the LR AppOps Service Operations & Delivery Team.
The Team provides the DevOps and SRE services which are critical to Wolters Kluwer and our Expert Solutions in the Legal & Regulatory division.
As a Lead DevOps Engineer, you will be responsible for leading the design and implementation of the infrastructure and deployment pipelines for our applications, as well as maintaining and improving reliability of our existing systems. You will work alongside the Wolters Kluwer Product Teams to successfully implementing and bring any learnings through continuous improvements. You will work closely with the Application Development Teams to ensure that our services and solutions are delivered efficiently and with the highest level of quality. In addition,
you will be responsible for mentoring a team of DevOps engineers, fostering a culture of collaboration with continuous improvement and learning.
Essential Duties And Responsibilities : Design, implement, and automate cloud infrastructure across Azure and AWS using Infrastructure as Code (Terraform, Ansible), enabling scalable, secure, and repeatable environments
Drive and scale the adoption of AI capabilities across the portfolio, enabling Teams to leverage AI-powered services to improve productivity, operational efficiency, and service reliability, while ensuring alignment with enterprise security, data protection, and governance standards
Lead the adoption of DevSecOps and Infrastructure as Code practices across Service Operations, Delivery, and the wider organisation
Drive the design and evolution of containerised and serverless architectures (AKS, EKS, Docker, Azure Functions)
Define, build, and maintain CI/CD pipelines to improve dep