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 implement security for AI agents, full-stack apps, and platforms
Build and maintain DevSecOps pipelines (SAST, SCA, DAST, secret scanning)
Conduct threat modeling and enforce least-privilege access
Lead security initiatives for flagship AI products (e.g., UpToDate Expert AI)
Ensure compliance with SOC 2, HIPAA, ISO 27001
Mentor engineers and promote a security-first culture
Continuously improve security tooling and practices
Requirements
8+ years of cloud security engineering experience (AWS and/or Azure)
Expert-level Python and Bash for security automation
Deep experience with CI/CD security integration
Strong background in threat modeling and security architecture
Experience securing containerized environments (Docker, Kubernetes)
Understanding of AI/ML security challenges
Ability to pass a live coding interview
Preferred
Relevant security certifications (AWS, Azure)
Experience with large-scale distributed systems
Familiarity with healthcare data security regulations
Knowledge of LLM-specific security considerations
Stages
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.
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.
