Join Our Team as a Gen AI Lead DevOps Engineer at Wolters Kluwer

Position Overview:

We are actively seeking a seasoned GenAI Lead DevOps Engineer with robust experience in cloud technologies, operating production workloads, and implementing continuous improvement processes. This pivotal role involves establishing and maintaining the infrastructure crucial for powering our innovative GenAI services. If you are passionate about developing resilient, scalable systems and propel operational excellence through automation, we invite you to lead the DevOps frontier in GenAI with us.

Key Responsibilities:

As a Lead DevOps Engineer focusing on GenAI Infrastructure, your primary responsibilities will include:

• Architecting and maintaining scalable and resilient cloud infrastructure specifically designed for GenAI applications.
• Managing the operational aspects of production systems to ensure reliability and uptime.
• Advocating for infrastructure as code (IaC), automation, and orchestration to enhance deployment and operational efficiency.
• Driving continuous improvement in system monitoring, disaster recovery, and security compliance.
• Leading incident response efforts and conducting thorough post-mortem analyses to prevent future issues.
• Collaborating with software engineering teams to embed DevOps best practices across the software development lifecycle.
• Mentoring DevOps team members and fostering a culture of knowledge sharing and skill enhancement.

Qualifications:

Ideal candidates will possess:

• A Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
• At least 10 years of experience in DevOps, systems administration, or similar roles, with a significant track record in cloud-based environments.
• Expertise in managing cloud infrastructure services like AWS, Azure, GCP, and familiar with cloud networking architectures.
• Proficiency in IaC tools such as Terraform, CloudFormation, Ansible and CI/CD pipelines like Jenkins, GitLab CI, CircleCI.
• A strong command of containerization technologies (Docker) and orchestration platforms (Kubernetes, ECS).
• Experience with monitoring and logging solutions (Prometheus, Grafana, ELK stack) and implementing observability in complex environments.
• Skilled in scripting languages like Python, Bash for automation of routine tasks.

Preferred Skills:

Additional desirable skills include:

• Experience managing infrastructure for AI or machine learning workloads.
• Knowledge of security best practices, including network security, authentication, and authorization protocols.
• Demonstrated leadership in managing cross-functional teams and projects.
• Strong analytical and troubleshooting skills, able to address complex issues.
• Excellent communication skills, able to convey technical challenges and solutions clearly to both technical and non-technical stakeholders.
• A relentless commitment to continuous learning and mastery of the latest DevOps trends and technologies.

About Our Team:

At */dxg Advanced Technology Engineering, we are a team of over 40 ambitious engineers operating with the agility of a startup but backed by the resources of a global leader. Engaged in pioneering GenAI integration, our creations influence various sectors from healthcare to legal, making significant impacts on professional performance and outcomes.

Why Join Us?

Embark on a journey with us at the forefront of the GenAI revolution, innovatively transforming industries and improving lives. As part of our team, you’ll lead cutting-edge projects, influence groundbreaking advancements, and make contributions that extend far beyond the technical realm.

If the idea of your technology work influencing major societal advancements excites you, apply now to become part of our mission at Wolters Kluwer. This is a 100% remote role but our modern office spaces are available if preferred. We also provide competitive benefits like private healthcare, access to learning resources, and more.