【上海 SRE招聘】-猎头顾问上海招聘信息-猎聘

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猎头顾问 · 上海翰德人力资源有限公司

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职位介绍: Job Summary: The AVP under Site Reliability Engineering (SRE) in the Chief Data Office plays a critical role in maintaining and enhancing the reliability, performance, and scalability of our enterprise data platform. This position ensures the stability of production, testing, and development environments that support Big Data and Analytics initiatives. You will leverage expertise in DevOps practices, Infrastructure as Code, and Kubernetes Architecture to drive automation, streamline operations, and proactively resolve system issues. A strong background in managing cloud-based, large-scale data infrastructure is essential, along with advanced Python scripting skills for automation and infrastructure management. Job Duties  Build and maintain cloud-based Big Data and Analytics Platforms, including: Enterprise Data Lake  Data Governance and Management Platforms  Self-service BI and Augmented Analytics Platforms  Proactively managing production services and data pipelines to ensure availability and system health  Improve system reliability through engineering solutions and advanced tooling for monitoring, automation, and fault tolerance  Develop and maintain CI/CD tools, microservices, and solutions to meet customer service standards and minimize errors  Manage release procedures and quality control, including documentation and stakeholder communication  Troubleshoot incidents following ITIL structure and incident management lifecycle  Test system integrity, application designs, and infrastructure processes, implementing improvements as needed  Oversee release management and deploy applications in production environments in line with enterprise standards  Support production releases or urgent changes during weekends or non-business hours as needed Key Responsibilities  Ensure high availability and performance of Big Data infrastructure  Maintain secure, resilient, and scalable cloud environments  Drive automation and continuous improvement across infrastructure and deployment pipelines  Own stakeholder communication to ensure transparency and alignment during release cycles and critical incidents Mandatory Skills and Qualifications:  Bachelor’s degree in Computer Science, Information Systems, or related IT disciplines  Exceptional Python programming and scripting skills, with hands-on experience using Python for automation, infrastructure, and data-related tasks.  Experience with major Cloud Service Providers (AWS, Huawei).  Expertise in cloud-based system support: provisioning, automation, monitoring, security, resilience, backup and recovery.  Familiarity with cloud-native infrastructure (e.g., Serverless, Kubernetes).  Proficiency in DevOps and SRE tools (Terraform, Ansible, Git).  Background in mission-critical, high-performance, large-scale systems.  Strong analytical, problem-solving, interpersonal, and presentation skills.  Fluent in written and spoken English and Chinese. Preferred Skills  Experience with observability and monitoring tools such as Grafana, Kibana, Prometheus, or equivalent  Exposure to advanced alerting and dashboarding for system health and performance  Familiarity with log aggregation and distributed tracing tools (e.g., ELK stack)

其他信息: 语言要求：普通话 + 粤语 + 英语; 行业要求：互联网

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