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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.
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 :
As a Lead DevOPS Engineer :
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
Job Qualifications : Hold at least two Azure &/or AWS Certifications
Education :**** Bachelor’s in Engineering or Master’s degree in Computer Science
**Required Experience :**
Experience using AI-assisted tools (e.g. GitHub Copilot, ChatGPT, or similar) to improve productivity
Experience automating operational tasks using AI-assisted scripting or intelligent automation approaches
Familiarity with prompt engineering and AI usage patterns in engineering workflows
Experience building or operating AI-enabled pipelines (e.g. integrating ML/AI services into CI/CD workflows)
Strong scripting/automation skills using Python, Bash or PowerShell
Experience applying DORA metrics to improve delivery performances
Experience driving DevOps transformation initiatives or cultural change
**Preferred Experience :**
Exposure to cost optimisation and cloud financial management (FinOps)
Experience with AI observability / monitoring (tracking model performance, usage, cost)
#LI-Hybrid
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.