主分类:生产运维与可靠性工程
来源 JD 数据(旧分类保留,当前主分类见上方)
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"job_title": "Cloud Engineer",
"job_level": "未披露",AI生成
"work_category": "全职",AI生成
"department": "未披露",
"location": "新加坡",
"work_mode": "未披露",AI生成
"job_category": "云计算"AI生成
},
"company": {
"company_name": "小米集团",
"company_industry": "消费电子 / 智能制造 / 物联网",
"company_size": "10000人以上",
"company_website": "xiaomi.com",
"company_description": "小米是一家消费电子和智能制造企业,以智能手机、智能硬件和物联网平台为核心。"
},
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"currency": "未披露",
"cycle": "未披露"
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"requirements": {
"working_years": 5,
"degree": "Bachelor’s degree in Computer Science",
"language": "7. Ability to communicate in Mandarin and English in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.",AI生成
"visa_support": "未披露",
"responsibilities": "Job Summary\nWe are looking for an experienced Senior Cloud Engineer to design, build, and operate scalable, highly available cloud infrastructure. This role will drive automation, system reliability, and cloud architecture evolution across regional deployments.\n\nKey Responsibilities\n1.Deploy and configure solutions in the cloud, ensuring scalability, high availability, and performance across production environments. \n2.Automate cloud operations, develop infrastructure automation scripts, and lead continuous improvement of cloud solutions and platform capabilities. \n3. Lead the specification, setup, and execution of Proof of Concepts (PoCs) and technical demonstrations to validate cloud architectures and solutions. \n4. Administer and maintain servers and services across virtual platforms, ensuring system reliability, resilience, and operational excellence. \n5. Design and optimize cloud-native architectures, including multi-region and distributed systems. \n6. Drive incident response, root cause analysis (RCA), and reliability improvements. \n7. Implement observability practices (monitoring, logging, tracing) and performance optimization. \n8. Optimize cloud cost, capacity planning, and resource utilization. ",
"requirements_text": " 1. Bachelor’s degree in Computer Science, Engineering, or related field \n 2. 5+ years of experience in Cloud / SRE / Platform Engineering \n 3. Strong hands-on experience with: \n AWS / Azure / GCP / Aliyun / Kingsoft Cloud \n Kubernetes / containerization \n 4. Deep understanding of: \n Distributed systems \n Networking (TCP/IP, DNS, TLS) \n 5. Experience in: \n automation (Terraform / IaC) \n CI/CD pipelines \n6. Proficiency in at least one programming language (Python / Go / Java)\n7. Ability to communicate in Mandarin and English in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.",
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"Python",
"Java",
"Kubernetes",
"团队协作",
"Go"
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"preferred_qualifications": "未披露",
"job_highlights": "未披露"
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"contact": {
"recruiter_name": "未披露",
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"type": "apply_link",
"value": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7512663028099350637/detail"
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"posting": {
"posting_id": "7512663028099350637",
"post_date": "2025-06-06",
"hire_time": "未披露",
"update_date": "20260917",
"job_url": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7512663028099350637/detail"
},
"fulltext": "Cloud Engineer\n职位描述\nJob Summary\nWe are looking for an experienced Senior Cloud Engineer to design, build, and operate scalable, highly available cloud infrastructure. This role will drive automation, system reliability, and cloud architecture evolution across regional deployments.\n\nKey Responsibilities\n1.Deploy and configure solutions in the cloud, ensuring scalability, high availability, and performance across production environments. \n2.Automate cloud operations, develop infrastructure automation scripts, and lead continuous improvement of cloud solutions and platform capabilities. \n3. Lead the specification, setup, and execution of Proof of Concepts (PoCs) and technical demonstrations to validate cloud architectures and solutions. \n4. Administer and maintain servers and services across virtual platforms, ensuring system reliability, resilience, and operational excellence. \n5. Design and optimize cloud-native architectures, including multi-region and distributed systems. \n6. Drive incident response, root cause analysis (RCA), and reliability improvements. \n7. Implement observability practices (monitoring, logging, tracing) and performance optimization. \n8. Optimize cloud cost, capacity planning, and resource utilization. \n\n职位要求\n 1. Bachelor’s degree in Computer Science, Engineering, or related field \n 2. 5+ years of experience in Cloud / SRE / Platform Engineering \n 3. Strong hands-on experience with: \n AWS / Azure / GCP / Aliyun / Kingsoft Cloud \n Kubernetes / containerization \n 4. Deep understanding of: \n Distributed systems \n Networking (TCP/IP, DNS, TLS) \n 5. Experience in: \n automation (Terraform / IaC) \n CI/CD pipelines \n6. Proficiency in at least one programming language (Python / Go / Java)\n7. Ability to communicate in Mandarin and English in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.\nJob Summary\nWe are looking for an experienced Senior Cloud Engineer to design, build, and operate scalable, highly available cloud infrastructure. This role will drive automation, system reliability, and cloud architecture evolution across regional deployments.\n\nKey Responsibilities\n1.Deploy and configure solutions in the cloud, ensuring scalability, high availability, and performance across production environments. \n2.Automate cloud operations, develop infrastructure automation scripts, and lead continuous improvement of cloud solutions and platform capabilities. \n3. Lead the specification, setup, and execution of Proof of Concepts (PoCs) and technical demonstrations to validate cloud architectures and solutions. \n4. Administer and maintain servers and services across virtual platforms, ensuring system reliability, resilience, and operational excellence. \n5. Design and optimize cloud-native architectures, including multi-region and distributed systems. \n6. Drive incident response, root cause analysis (RCA), and reliability improvements. \n7. Implement observability practices (monitoring, logging, tracing) and performance optimization. \n8. Optimize cloud cost, capacity planning, and resource utilization. \n 1. Bachelor’s degree in Computer Science, Engineering, or related field \n 2. 5+ years of experience in Cloud / SRE / Platform Engineering \n 3. Strong hands-on experience with: \n AWS / Azure / GCP / Aliyun / Kingsoft Cloud \n Kubernetes / containerization \n 4. Deep understanding of: \n Distributed systems \n Networking (TCP/IP, DNS, TLS) \n 5. Experience in: \n automation (Terraform / IaC) \n CI/CD pipelines \n6. Proficiency in at least one programming language (Python / Go / Java)\n7. Ability to communicate in Mandarin and English in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.",
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}