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Key skills for this role
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 pipelines using: Azure DevOps (ADO Pipelines) Jenkins GitHub Actions GitLab CI/CD
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
Utilize AI tools (e.g., GitHub Copilot, M365 Copilot) to: Accelerate code and IaC development Improve documentation and test coverage
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
Support the provisioning and automation of infrastructure in Azure and AWS
Contribute to shared platform components and reusable modules
Skip the repetitive application forms
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Assist in implementing event-driven and API-based automation
Integrate security practices into development workflows: Secure coding Secrets management Dependency validation
Secure coding
Secrets management
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
50% Software & Infrastructure Engineering
25% CI/CD & Automation
15% Operations & Troubleshooting
10% Innovation & AI enablement
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
Azure DevOps, Jenkins, GitHub Actions, or GitLab CI/CD
Experience working in Azure and/or AWS environments
Programming experience (Python preferred)
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
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.
Verified company details for this employer are not available yet.
Full-time
Senior · 5+ years experience
Hybrid
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