Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day.
We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most. You’ll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world.
You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong.
About this role
Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. We also drive the development of the most impactful AI agents, ensuring faster delivery and greater impact across multiple domains. With over 20 agents already launched and many more in progress, our work accelerates innovation and improves outcomes in critical industries.
You’ll join a 100-engineer team within a larger organization that combines the stability of an established company with the agility of a startup. In this high-autonomy, high-impact role, you’ll take problems from concept to production, mentor less experienced engineers, and lead by example.
Responsibilities
Design and maintain a self-service platform covering the full SDLC
Build and operate CI/CD pipelines using Github Actions or similar tools
Implement Infrastructure as Code using CloudFormation, Terraform, SAM
Integrate AWS serverless and PaaS services
Promote best practices for cloud usage, automation, and platform reliability
Monitor platform performance, availability, and security
Continuously improve tooling and developer experience
Requirements
Production experience in cloud platform engineering (AWS-focused)
Holding one of the following certifications:
AWS: Solutions Architect - Professional validates advanced skills in designing complex, multi-tier solutions and optimizing security and cost.
Azure: Solutions Architect Expert (AZ-305) requires passing the Associate-level AZ-104 first. It focuses on enterprise-level design, including identity and governance.
GCP: Professional Cloud Architect assesses your ability to design and manage robust, secure, and scalable cloud solutions. Google Cloud
Strong Python and Bash programming skills
Deep experience with AWS services and IaC
CI/CD pipeline design and maintenance experience
Familiarity with Docker and Kubernetes
Strong troubleshooting and cross-team communication skills
Ability to pass a live coding interview
Preferred
Experience with large-scale, global platforms
Familiarity with Azure
Stages
15‑minute intro screen
2× live coding in your preferred language
1× systems design
1× presentation of past work
Timeline: Typically 2–4 weeks
Your first months
Month 1: Deep-dive into one platform component most aligned with your expertise; ship small improvements while ramping up.
After onboarding: We’ll align on a high-impact area that fits your strengths and ambitions.
To apply:
Please submit your resume along with a brief cover letter that includes a “Statement of Exceptional Work.” In your cover letter, highlight one of your most impactful projects by addressing the following:
Your role and the problem space you were working in
The technical and product challenges you faced, and how you addressed them
The measurable impact of your work (e.g., metrics, outcomes, improvements)
This will help us better understand your approach to solving complex problems and the value you bring to the team.
Please do not include any proprietary or confidential information in your submission
Be the Difference | If making a difference matters to you, then you matter to us.
Our Interview PracticesTo 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.
#J-18808-Ljbffr€60000 - €90000 monthly