Senior Enterprise Software Engineer

Overview

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.

You will work with stakeholders including the engineering team, Cloud Operations, Security, Compliance, and other key partners. Your primary focus will be on engineering practices to streamline 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 technologies, helping to build and maintain continuous integration and delivery pipelines, infrastructure as code, and automated deployment processes.

You will be involved in a wide range of tasks, including 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 best practices and the optimization of 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 participate in the design, development, and deployment of our cloud platform solutions. You will work on projects that require meticulous attention to detail and a strong commitment to quality. Clear communication and collaboration with team members will be essential for successful delivery.

This position offers opportunities for growth and career development within a supportive and innovative environment. You will work with state-of-the-art technologies as part of a collaborative, high-performing team.

Responsibilities

• Support architecture for complex applications ensuring they meet business requirements.
• Implement best practices in coding with support of AI.
• 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.

Qualifications

• Bachelor’s degree in computer science, Information Systems, or a related field.
• Minimum of 5 years of hands-on experience in the DevSecOps engineering discipline, with enterprise experience preferred.
• 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).
• Strong analytical and problem-solving skills, with the ability to work in a fast-paced, evolving environment, ensuring platform reliability and scalability.
• Excellent communication and collaboration skills, with a willingness to learn and contribute to team success.

Benefits

Wolters Kluwer offers a wide variety of competitive benefits and programs, including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.