LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® ...
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As a DevOps Cloud Engineer, you will support our global DevOps team by designing, implementing, and maintaining CI/CD pipelines and cloud infrastructure. You will collaborate with cross-functional teams to troubleshoot issues, optimize processes, and advocate for modern DevOps practices, ensuring high-quality outcomes and robust system performance.
Responsibilities:
Provide support and troubleshooting for CI/CD pipelines using Jenkins, Azure DevOps, and other tools.
Collaborate with teams to onboard them onto pipelines tailored to their technical requirements.
Develop reusable libraries and templates to standardize and accelerate pipeline creation.
Design, deploy, and maintain AWS infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
Troubleshoot and resolve technical and operational issues in CI/CD pipelines and cloud infrastructure.
Maintain a structured troubleshooting process, ensuring issues are resolved efficiently and solutions are documented for future use.
Advocate for and implement modern DevOps practices, including test-driven development, containerization, and GitOps workflows.
Manage a support channel and work intake for the DevOps teams and support other areas of Cloud Engineering as needed.
Requirements:
Proficiency in Jenkins, Azure DevOps, and Python for automation and scripting.
A bachelor’s degree in computer science, Information Technology, Engineering, or a related industry certification (Cloud Certifications/DevOps Certifications)
Strong AWS cloud skills, including IaC with Terraform and CloudFormation.
Hands-on experience with containerization technologies such as Docker and Kubernetes.
Proficiency in GitOps workflows and modern DevOps methodologies.
Experience with observability tools such as DataDog and Splunk for effective dashboarding, monitoring, and alerts.
Strong troubleshooting capabilities for CI/CD pipelines and cloud environments.
Strong organizational, time-management and communication skills to work effectively across different time zones and for collaborating with cross-functional and global teams.
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