Senior Enterprise Software Engineer
AI in this role
Wolters Kluwer is seeking a Senior Enterprise Software Engineer to design, develop, and implement scalable cloud-based solutions, with a strong focus on Infrastructure as Code (IaC), DevSecOps practices, and automation.
This role represents a key step in the evolution from traditional IT operations toward software-driven infrastructure engineering, where systems and environments are built, deployed, and managed through code and automated pipelines.
The engineer will contribute to the development of enterprise platform capabilities, leveraging modern CI/CD toolchains and AI-assisted engineering tools to improve productivity, quality, and delivery speed.
Key Responsibilities
Software & Infrastructure Engineering
Design, develop, and maintain infrastructure using Infrastructure as Code (Terraform)
Build automation solutions to replace manual operational activities
Contribute to the development of enterprise cloud services across Azure and AWS
CI/CD and Automation
Design and maintain pipelines using:
Azure DevOps (ADO Pipelines)
Jenkins
GitHub Actions
GitLab CI/CD
Ensure consistent and repeatable deployment processes across environments
Integrate validation, testing, and security controls into delivery pipelines
AI-Enabled Development
Utilize AI tools (e.g., GitHub Copilot, M365 Copilot) to:
Accelerate code and IaC development
Improve documentation and test coverage
Validate AI-generated outputs and ensure adherence to engineering standards
Apply basic prompt engineering techniques to support development activities
Cloud & Platform Contribution
Support the provisioning and automation of infrastructure in Azure and AWS
Contribute to shared platform components and reusable modules
Assist in implementing event-driven and API-based automation
Security & Compliance
Integrate security practices into development workflows:
Secure coding
Secrets management
Dependency validation
Ensure compliance with enterprise standards and policies
Operations & Reliability
Support system monitoring, troubleshooting, and incident resolution
Contribute to observability practices (logging, metrics, alerting)
Improve system reliability through automation and continuous improvement
Work Breakdown
50% Software & Infrastructure Engineering
25% CI/CD & Automation
15% Operations & Troubleshooting
10% Innovation & AI enablement
Qualifications
Education
Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience
Experience
5–7 years of experience in software engineering, DevOps, or cloud engineering
Hands-on experience with Terraform (IaC)
Experience with CI/CD tools:
Azure DevOps, Jenkins, GitHub Actions, or GitLab CI/CD
Experience working in Azure and/or AWS environments
Programming experience (Python preferred)
AI Capability
Practical experience using AI tools for development productivity
Ability to validate AI-generated code and outputs
Understanding of responsible AI usage in engineering workflows
Core Competencies
Strong execution and problem-solving skills
Automation-first mindset
Attention to detail and quality
Collaboration and teamwork
Continuous learning and adaptability
Other Duties and Soft Skills
Performs other duties as assigned by management.
On call rotation responsibilities with the Service Delivery and Operations Team
Excellent communication and collaboration skills, with a willingness to learn and contribute to team success.
Minimal domestic travel requirements
Normal professional office environment.
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
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.
How we rate this
Senior Enterprise Software Engineer at Wolters Kluwer rates 49 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What are the limits of Copilot that you've run into, and how did you work around them?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, AI Safety, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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