About the role

This opportunity plays a key role in the development, deployment, and maintenance of scalable, secure, and high-performing enterprise software / cloud platforms. You will collaborate with cross-functional teams to implement best practices in coding, automation, infrastructure management, and security. This role offers opportunities to work with modern technologies, including cloud platforms, CI/CD pipelines, Infrastructure as Code (IaC), and generative AI, while contributing to the continuous improvement of engineering processes and platform reliability. You will report to Manager of DevSecOps Engineering and work alongside a team of 4 dedicated colleagues.

As part of our dynamic DevOps community, you’ll join a global network of passionate tech professionals who collaborate, support, and inspire each other across borders. You’ll have the opportunity to:

• Attend flagship events like Wolters Kluwer Technology Summit
• Participate in industry-leading conferences such as Ignite
• Compete in exciting challenges like the Code Games

We believe in continuous learning, innovation, and celebrating success together.

You will:

• Design, develop, and maintain scalable and reliable enterprise software and cloud platforms.
• Implement and manage CI/CD pipelines to automate build, test, and deployment processes.
• Operate and optimize cloud infrastructure (AWS, Azure, GCP) for performance, scalability, and reliability.
• Apply SRE principles (e.g., monitoring, incident response, capacity planning) to ensure platform stability.
• Develop scripts and tools to automate operational tasks and improve engineering efficiency.
• Ensure security compliance by implementing best practices and conducting regular assessments.
• Collaborate with cross-functional teams (engineering, operations, QA, security) to deliver integrated solutions.
• Document technical processes and infrastructure configurations for transparency and repeatability.
• Translate business and customer requirements into technical solutions and deliverables.
• Explore and apply emerging technologies, including generative AI, to enhance software capabilities.

You have:

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.

Experience

• Minimum of 3 years of hands-on experience in software engineering, DevSecOps, or platform engineering.
• Experience with enterprise-scale application and infrastructure operations.

Skills

• Proficiency in scripting languages (e.g., Bash, Python) for automation and infrastructure tasks.
• Working knowledge of programming frameworks (e.g., .NET, Java).
• Experience with Infrastructure as Code (IaC) tools such as Terraform, including module development.
• Proficiency with CI/CD tools (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions).
• Experience with cloud platforms (AWS, Azure, GCP), including service design and deployment.
• Familiarity with container orchestration and serverless technologies.
• Understanding of security best practices and compliance requirements.
• Strong analytical and problem-solving skills in a fast-paced environment.
• Excellent communication and collaboration skills.
• Interest or experience in generative AI and its application in software development.

Working together

• Hybrid: This is a hybrid role, where you will spend at least eight days a month at our office, where you'll enjoy the benefits of connecting and collaborating with your colleagues in person.