Assist in developing and maintaining software, automation tools, and infrastructure components supporting cloud platforms, infrastructure services, and enterprise technology environments.
Support application and infrastructure operations across multiple environments including traditional hosting providers, private cloud, and public cloud platforms such as AWS and Azure.
Participate in the software development lifecycle (SDLC) including design discussions, development, testing, deployment, and ongoing operational support.
Work with senior engineers to develop, enhance, and troubleshoot Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Ansible, and related automation frameworks.
Contribute to cloud infrastructure automation, environment provisioning, and operational improvements.
Assist in evaluating new technologies, development patterns, and tools through POCs, pilots, and technical experimentation.
Support debugging, troubleshooting, and improvement of existing platforms, scripts, and infrastructure components.
Collaborate with cross-functional teams and follow engineering best practices for documentation, code management, and operational processes.
Required:
Bachelor’s Degree in Computer Science, Information Technology, Mathematics, or a related technical field.
1–2 years of experience in software development, cloud engineering, automation, or infrastructure support roles.
Exposure to programming or scripting languages such as Python, Java, Powershell, Bash, or similar technologies.
Basic understanding of cloud platforms such as AWS or Azure.
Familiarity with Infrastructure-as-Code concepts and tools such as Terraform, Ansible, or similar automation technologies is preferred.
Understanding of software development lifecycle and engineering best practices.
Strong analytical and problem-solving skills with attention to detail.
Ability to work in a collaborative team environment while managing multiple tasks.
Good verbal and written communication skills.
Demonstrated interest in cloud technologies, infrastructure automation, and platform engineering.
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.