{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "Site Reliability 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": "IT运维"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。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": "",
        "degree": "Bachelor's degree (or expected graduation) in Computer Science",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "1. Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance. \n2.  Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under the guidance of senior engineers. \n3.  Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices. \n4.  Participate in production changes, system upgrades, routine maintenance, and on-call rotations after successfully completing the required onboarding and training program. Compensatory time off will be provided in accordance with company policy. \n5.  Learn and contribute to automation initiatives through scripting, operational tools, and AI-assisted engineering workflows to improve operational efficiency and reduce manual effort. \n6.  Collaborate with software engineers, infrastructure teams, and other stakeholders to resolve technical issues, improve system reliability, and continuously develop technical knowledge and engineering skills. ",
        "requirements_text": "1. Bachelor's degree (or expected graduation) in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related discipline. Fresh graduates are encouraged to apply. \n2.  Basic understanding of cloud computing concepts, Linux operating systems, networking fundamentals (TCP/IP, DNS, HTTP/HTTPS), and system administration through coursework, projects, or internships. \n3.  Exposure to cloud platforms (such as Alibaba Cloud, AWS, Azure, or Google Cloud Platform), container technologies (Docker and Kubernetes), or virtualization technologies is an advantage but not required. \n4.  Basic programming or scripting skills in Python, Bash, Go, Java, or similar languages, with an interest in automation and cloud technologies. \n5.  Strong analytical thinking, problem-solving ability, and a proactive attitude with a willingness to learn new technologies in a fast-paced engineering environment. ",
        "skills": [AI生成
            "Python",
            "Java",
            "Linux",
            "Docker",
            "Kubernetes",
            "Go"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7553601536372492580/detail"
            }
        ]
    },
    "posting": {
        "posting_id": "7553601536372492580",
        "post_date": "2025-09-24",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://xiaomi.jobs.f.mioffice.cn/index/m/position/7553601536372492580/detail"
    },
    "fulltext": "Site Reliability Engineer\n职位描述\n1. Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance. \n2.  Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under the guidance of senior engineers. \n3.  Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices. \n4.  Participate in production changes, system upgrades, routine maintenance, and on-call rotations after successfully completing the required onboarding and training program. Compensatory time off will be provided in accordance with company policy. \n5.  Learn and contribute to automation initiatives through scripting, operational tools, and AI-assisted engineering workflows to improve operational efficiency and reduce manual effort. \n6.  Collaborate with software engineers, infrastructure teams, and other stakeholders to resolve technical issues, improve system reliability, and continuously develop technical knowledge and engineering skills. \n\n职位要求\n1. Bachelor's degree (or expected graduation) in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related discipline. Fresh graduates are encouraged to apply. \n2.  Basic understanding of cloud computing concepts, Linux operating systems, networking fundamentals (TCP/IP, DNS, HTTP/HTTPS), and system administration through coursework, projects, or internships. \n3.  Exposure to cloud platforms (such as Alibaba Cloud, AWS, Azure, or Google Cloud Platform), container technologies (Docker and Kubernetes), or virtualization technologies is an advantage but not required. \n4.  Basic programming or scripting skills in Python, Bash, Go, Java, or similar languages, with an interest in automation and cloud technologies. \n5.  Strong analytical thinking, problem-solving ability, and a proactive attitude with a willingness to learn new technologies in a fast-paced engineering environment. \n1. Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance. \n2.  Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under the guidance of senior engineers. \n3.  Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices. \n4.  Participate in production changes, system upgrades, routine maintenance, and on-call rotations after successfully completing the required onboarding and training program. Compensatory time off will be provided in accordance with company policy. \n5.  Learn and contribute to automation initiatives through scripting, operational tools, and AI-assisted engineering workflows to improve operational efficiency and reduce manual effort. \n6.  Collaborate with software engineers, infrastructure teams, and other stakeholders to resolve technical issues, improve system reliability, and continuously develop technical knowledge and engineering skills. \n1. Bachelor's degree (or expected graduation) in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related discipline. Fresh graduates are encouraged to apply. \n2.  Basic understanding of cloud computing concepts, Linux operating systems, networking fundamentals (TCP/IP, DNS, HTTP/HTTPS), and system administration through coursework, projects, or internships. \n3.  Exposure to cloud platforms (such as Alibaba Cloud, AWS, Azure, or Google Cloud Platform), container technologies (Docker and Kubernetes), or virtualization technologies is an advantage but not required. \n4.  Basic programming or scripting skills in Python, Bash, Go, Java, or similar languages, with an interest in automation and cloud technologies. \n5.  Strong analytical thinking, problem-solving ability, and a proactive attitude with a willingness to learn new technologies in a fast-paced engineering environment. ",
    "standard_classification": {
        "std_category_code": "T020",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}