LexisNexis Legal & Professional is looking to solve the problem of increasing productivity, improving decision-making, and achieving better outcomes for its customers by leveraging advanced Azure cloud services and AI capabilities.
Requirements
- Demonstrated expertise in architecting and managing advanced Azure solutions, with a specialized focus on implementing and optimizing Azure OpenAI services.
- Strong understanding of Cognitive Services and AI/ML concepts.
- Demonstrated proficiency in Infrastructure as Code (IaC) platforms, specifically utilizing Terraform, PowerShell, Azure CLI and Azure DevOps.
- Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.
- Experience integrating Azure capabilities with enterprise applications, and configuring advanced security, scalability, and monitoring features.
- Strong understanding of Infrastructure as Code (IaC) is also essential, empowering the engineer to efficiently build and deploy scalable cloud solutions.
- Experience with Azure AI capabilities and a variety of advanced Azure services.
Responsibilities
- Ability to manage cross-functional projects involving architecture reviews, build process enhancements, and pipeline improvements.
- Design and implement Azure infrastructure solutions with a focus on AI capabilities within Azure.
- Collaborate with cross-functional teams to integrate AI capabilities into existing and new applications.
- Optimize and manage the performance, scalability, and security of Azure infrastructure.
- Develop and maintain solution documentation for infrastructure design, configuration, and best practices.
- Troubleshoot and resolve complex technical issues related to Azure infrastructure.
- Drive the deployment and management of Azure cloud infrastructure by leveraging Infrastructure as Code practices through Azure DevOps automation pipelines.
Other
- You must be a U.S. citizen to apply for this position
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication skills and the ability to collaborate effectively with diverse teams.
- Must assist other team members with technical issues and pair program with other team members, fostering collaboration and continuous learning across the team.
- Provide technical leadership and mentorship to junior engineers and team members.
