DevSecOps Senior Engineer

Role Overview: As a DevSecOps Senior Engineer at Wolters Kluwer, you will have the exciting opportunity to contribute to the development, maintenance, and enhancement of the enterprise cloud platform. You will play a crucial role in supporting the engineering team and collaborating with various stakeholders to streamline software development processes and ensure the reliability and scalability of the cloud platform. Your involvement in a range of tasks, including automation, monitoring, and performance optimization, will be key to implementing best practices and optimizing platform workflows. This position offers a supportive and innovative environment for career growth and development, where you will work with state-of-the-art technologies and make a significant impact on the organization's success. Key Responsibilities: - Support architecture for complex applications to meet business requirements - Implement best coding practices with the support of AI - Deploy, monitor, and maintain platforms - Utilize SRE principles for resilience, metrics, capacity planning, incident management, and security - Manage cloud infrastructure and services (e.g., AWS, Azure, Google Cloud) - Collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders - Develop and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines - Enhance operational efficiency through scripting and tool development - Build and transform container and serverless architectures (e.g., AKS, EKS, Docker, Azure Functions) - Ensure software and platforms comply with security standards and regulations - Implement security best practices and conduct regular security assessments - Document processes, procedures, and infrastructure setups - Stay updated with emerging technologies and industry trends - Improve systems, processes, and methodologies continuously - Participate in project planning and execution - Translate customer requirements into technical solutions - Deploy AI models for automated content generation and predictive analytics Qualifications Required: - Bachelor's degree in computer science, Information Systems, or a related field - Minimum 5 years of hands-on experience in DevSecOps engineering, preferably in enterprise engineering - Minimum 1 year of experience with AI and Generative AI technologies - Experience in Application and Infrastructure Operations - Proficiency in scripting languages (e.g., Bash, Python) for automation and management - Knowledge of programming frameworks (e.g., .NET, JAVA) and application development - Extensive experience with Terraform for infrastructure as code (IaC) management - Proficiency in CI/CD tools and practices (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions) - Comprehensive experience with cloud platforms (e.g., AWS, Azure, GCP) - Strong analytical and problem-solving skills - Excellent communication and collaboration skills Note: Additional details about the company were not provided in the job description.,