Senior Enterprise Software Engineer

Job description

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.