DevOps Engineer

Senior Enterprise Software Engineer

Software Engineering - Enterprise

Wolters Kluwer is seeking a motivated and talented Senior DevSecOps Engineer to join our dynamic team. This is an exciting opportunity for an individual with hands-on experience in a mature software engineering and a DevSecOps environment to further develop their skills and make a meaningful impact within a forward-thinking organization. As a Senior DevSecOps Senior Engineer, you will play a crucial role in supporting our engineering team, contributing to the development, maintenance, and enhancement of our enterprise cloud platform.

 

In this role, you will be responsible for working closely with various stakeholders, including our experienced engineering team, Cloud Operations, Security, Compliance, and other key partners. Your primary focus will be on engineering practices to streamline our software development processes, enhance efficiency, and ensure the reliability and scalability of our cloud platform. You will gain hands-on experience with a variety of DevSecOps tools and application and platform technologies, helping to build and maintain our continuous integration and delivery pipelines, infrastructure as code, and automated deployment processes.

 

You will be involved in a wide range of tasks, including application and platform automation, infrastructure management, monitoring, and performance optimization. Your foundational understanding of application and platform engineering concepts, practices, and tools will be critical as you contribute to the implementation of best practices and the optimization of our platform workflows. You will have the opportunity to learn from and collaborate with seasoned professionals, gaining valuable insights and experience that will help you grow in your career.

 

As a DevSecOps Senior Engineer, you will be expected to actively participate in the design, development, and deployment of our cloud platform solutions. You will work on projects that require a keen attention to detail and a strong commitment to quality. Your ability to collaborate effectively with team members and communicate clearly will be essential in ensuring the successful delivery of our application and platform solutions.

This position offers a fantastic opportunity for growth and career development within a supportive and innovative environment. You will have the chance to work with state-of-the-art technologies, be part of a collaborative and high-performing team and make a significant impact on our organization’s success. If you are passionate about engineering and eager to take your career to the next level, we encourage you to apply and join our team at Wolters Kluwer.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES

Support architecture for complex applications ensuring they meet business requirements.
Embed and leverage AI best practices to improve our working practices
Perform the deployment, monitoring, and maintenance of platforms.
Conduct work activities using SRE principles, such as resilience, metrics, capacity planning, toil, Incident management and security
Manage cloud infrastructure and services (e.g., AWS and Azure).
Collaborate with cross-functional teams (developers, operations, QA, etc.).
Communicate technical concepts to non-technical stakeholders.
Implement and Manage Continuous Integration and Continuous Deployment (CI/CD) pipelines.
Develop scripts and tools to improve operational efficiency.
Build and help transform container and serverless architectures, such as AKS (Azure Kubernetes Service), EKS (Elastic Kubernetes Services), Docker and Azure Functions. 
Ensure software and platforms comply with security standards and regulations.
Implement security best practices and conduct regular security assessments.
Adhere to access controls and protect sensitive data.
Document processes, procedures, and infrastructure setups.
Stay up to date with emerging technologies and industry trends.
Continuously improve systems, processes, and methodologies.
Participate in project planning and execution.
Ensure projects are completed on time and within budget.
Understand customer requirements and translate them into technical solutions.
Engage with stakeholders to gather feedback and refine requirements.
Ensure customer satisfaction through reliable and high-quality deliverables.
Explore generative AI technologies to enhance software capabilities.
Deploy AI models for automated content generation and predictive analytics.

OTHER DUTIES

Performs other duties as assigned by management
On call rotation responsibilities with the Service Delivery and Operations Team

 

JOB QUALIFICATIONS & EXPERIENCE

 

Requirements:

Bachelor’s degree in computer science, Information Systems, or a related field

Minimum of 7 years of hands-on experience in the DevSecOps engineering discipline, prefer enterprise engineering experience or equivalent

Minimum 1 year of experience with AI and Generative AI technologies or equivalent 

Experience with Application and Infrastructure Operations

Proficiency in scripting languages (e.g., Bash, Python or powershell) for automation tasks and infrastructure management.

Experience with Terraform for infrastructure as code (IaC) management, including writing and maintaining modules. 

Proficiency with CI/CD tools and practices (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions), including creating and managing pipelines. 

Comprehensive experience with cloud platforms (e.g., AWS, Azure), including designing and implementing cloud services and architectures. 

Experience with administration and upgrade of Kubernetes clusters (AKS/EKS), ensuring performance and compatibility

Strong analytical and problem-solving skills, with the ability to work effectively in a fast-paced, evolving environment, ensuring platform reliability and scalability. 

 

Soft skills: 

Excellent communication and collaboration skills, with a willingness to learn and contribute to team success.

Our Interview Practices

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.

Experience Level

Senior Level