Senior Enterprise Software Engineer

Overview

Design, develop and implement scalable cloud-based solutions with a strong focus on Infrastructure as Code, DevSecOps practices and automation, as part of the shift from traditional IT operations toward software-driven infrastructure engineering.

What you'll do

• 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.
• Design and maintain CI/CD pipelines using Azure DevOps (ADO Pipelines), Jenkins, GitHub Actions and GitLab CI/CD.
• Ensure consistent and repeatable deployment processes across environments.
• Integrate validation, testing and security controls into delivery pipelines.
• Utilize AI tools (e.g., GitHub Copilot, M365 Copilot) to accelerate code and IaC development, improve documentation and test coverage, and validate AI-generated outputs against engineering standards.
• Apply basic prompt engineering techniques to support development activities.
• 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.
• Integrate security practices into development workflows, including secure coding, secrets management and dependency validation.
• Ensure compliance with enterprise standards and policies.
• Support system monitoring, troubleshooting and incident resolution.
• Contribute to observability practices (logging, metrics, alerting).
• Improve system reliability through automation and continuous improvement.
• Perform other duties as assigned by management.

What you'll need

• Bachelor's degree in Computer Science, Information Systems or related field, or equivalent 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.
• Practical experience using AI tools for development productivity.
• Ability to validate AI-generated code and outputs.
• Understanding of responsible AI usage in engineering workflows.
• Strong execution and problem-solving skills.
• Automation-first mindset.
• Attention to detail and quality.
• Collaboration and teamwork.
• Continuous learning and adaptability.

Nice to have

• Python programming experience.

Details

• On-call rotation responsibilities with the Service Delivery and Operations Team.
• Minimal domestic travel.
• Normal professional office environment.
• Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
• Interviews must be completed without AI tools or external prompts; virtual backgrounds must be removed.