[North Asia

3 weeks ago


Shanghai, China L'Oréal Full time

As a Data Platform Engineer, your primary objective will be to leverage your expertise in Cloud to design, build, and maintain a resilient and scalable cloud infrastructure that supports our organization's growth and technological innovation. You will play a pivotal role in ensuring the seamless operation of our cloud services, optimizing their performance, security, and reliability. By collaborating with cross-functional teams and staying up-to-date with the latest cloud technologies, your contributions will directly impact our ability to deliver exceptional user experiences while maintaining the highest standards of operational excellence.Role and Responsibilities

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions on the Cloud. Design, deploy, and manage highly available and scalable cloud services. Configure security best practices thru identity and access management, encryption, network security, and other Cloud security features. Monitor system performance, troubleshoot issues, and implement optimization strategies to ensure optimal resource utilization. Implement monitoring, logging, and alerting solutions to ensure the health and performance of Cloud resources. Develop and implement automation scripts and infrastructure-as-code practices to streamline deployment and management processes. Identify and resolve performance bottlenecks, optimize resource utilization, and make recommendations for improvements. Collaborate with development teams to provide guidance on optimizing applications for cloud deployment. Stay up-to-date with industry trends and advancements in Cloud services, recommending and implementing relevant tech to improve our cloud infra. Contribute to documentation, knowledge sharing, and mentorship to promote a culture of continuous learning within the team. Provide technical support and troubleshooting for Cloud-related issues, both during regular operations and incidents.

Requirements

Proven experience as a Cloud Engineer, DevOps Engineer, or similar role, with a strong focus on Public Cloud (GCP, Azure, AWS, Ali Cloud) Proficiency in scripting languages such as Python, Shell, or PowerShell. Working knowledge of Databricks, MLOps or FinOps is a big plus Hands-on experience with Cloud services with focus on provision for cloud data warehouse, AI-ML & web applications, containerization, FaaS. Proficiency in Git, CI/CD pipelines and infrastructure-as-code using Terraform  Strong understanding of cloud architecture, networking, and security. Prior experience with platform resource monitoring and optimizations Familiarity with IAM, access control and privacy practices. Relevant certifications like Cloud Engineer, Data Engineer, DevOps Engineer or Cloud Architect are highly desirable. Strong communication skills in English, both verbal and written Pro-active, self-motivated & problem-solving attitude Prior experience in working with team of technical developers will be a plus Puedes inscribirte en un máximo de tres ofertas en un período de días. No puedes retirar tu solicitud una vez enviada, así que asegúrate de elegir la posición que mejor se adapte a tus habilidades y aspiraciones.

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