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We are seeking a highly skilled and experienced Cloud Engineer. The ideal candidate will have a strong background in Python programming, extensive experience with Kubernetes and Dapr, proficiency in multi-cloud environments, and some experience with artificial intelligence technologies. The role involves designing, implementing, and maintaining scalable and resilient cloud-native applications across various cloud platforms.
Key Responsibilities:Design and develop robust, scalable, and secure cloud-native applications using Python.Deploy and manage applications using Kubernetes, ensuring high availability and fault tolerance.Utilize Dapr to build microservices-based architectures that are platform-agnostic and can run on any cloud.Work with multiple cloud providers (AWS, Azure, GCP, etc.) to leverage their services and ensure optimal application performance and cost-efficiency.Implement CI/CD pipelines for automated testing and deployment of applications.Collaborate with AI teams to integrate machine learning models and AI services into applications.Monitor and optimize application performance, scalability, and system reliability.Stay up-to-date with emerging cloud technologies and industry best practices.Provide technical leadership and mentorship to junior engineers.Participate in code reviews, architectural discussions, and planning sessions.Troubleshoot and resolve complex technical issues in the cloud environment.EY | Building a better working world
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