Senior Enterprise Software Engineer

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

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.