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 Practices

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.