Senior Enterprise Software Engineer

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.