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.

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