Senior Cloud Engineer* job opportunity at Thomson Reuters.

Home Jobs In United States Of America Tag: Engineering Senior Cloud Engineer* position at Thomson Reuters


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Thomson Reuters Senior Cloud Engineer*
Experience: 3-years
Pattern: full-time
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Status:

Engineering

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degreeBachelor's (B.Sc.)
loacation Eagan, Minnesota, Ann Arbor, Michigan, Frisco, Texas, United States Of America
loacation Eagan, Minneso..........United States Of America

We are looking for a highly motivated and experienced Senior Cloud Engineer with DevOps skills to become part of our dynamic and innovative team focused on developing AI-driven software for legal professionals, including our flagship product, Westlaw. In this role, you will contribute to the development of innovative solutions, collaborating with cross-functional teams, and driving the delivery of new products and features that meet our customer needs. You will utilize technologies such as Java, React/Angular, Python, REST APIs, and AWS cloud infrastructure to deliver cutting-edge solutions. Join us to make a significant impact in the legal tech industry with your expertise and creativity. __ About the Role: In this opportunity as a  Senior Cloud Engineer, you will:  Work closely with business partners and stakeholders to identify requirements and prioritize new enhancements and features Collaborate with software engineers, architects, technical management, and business partners across geographical and organizational boundaries Assist in architecture direction and finalize design with Architects Break down deliverables into meaningful stories for the development team Share knowledge and best practices on using new and emerging technologies __ Provide technical support to operations or other development teams by #troubleshooting, #debugging, and #solving critical issues Interpret code and solve problems based on existing standards Create and maintain technical documentation related to assigned ccomponents __ Implement and maintain CI/CD pipelines using tools such as GitHub Actions and AWS services. Manage and orchestrate containerized applications using Kubernetes. Automate infrastructure provisioning and configuration using tools such as Terraform or CloudFormation. Monitor system performance and troubleshoot issues using tools such as Datadog and Grafana.

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