Wolters Kluwer - DevSecOps Lead Engineer - Cloud Infrastructure

As a DevSecOps Lead 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 Lead 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 organizations 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 :

• Design and Engineer scalable and reliable software systems.
• Define and implement best practices in coding with support of AI.
• Lead the deployment, monitoring, and maintenance of platforms.
• Lead work activities using SRE principles, such as resilience, metrics, capacity planning, toil, Incident management and security.
• Manage cloud infrastructure and services (e., AWS, Azure, Google Cloud).
• Collaborate with cross-functional teams (developers, operations, QA, etc.
• Communicate technical concepts to non-technical stakeholders including executives.
• 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.
• Create and maintain technical documentation.
• Document processes, procedures, and infrastructure setups.
• Stay up to date with emerging technologies and industry trends.
• Continuously improve systems, processes, and methodologies.
• Participate in agile / scrum project planning and execution.
• Adhere to projects schedule and budgets.
• 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.

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(ref : hirist.tech)