该职位来源于猎聘 职位概述 Job Overview
- Build, operate and evolve Alibaba Cloud–based backend for CDC/ERD in China, covering data ingestion, messaging, processing, storage and analytics with high availability, security and cost efficiency. / 在阿里云上搭建、运营并演进中国区CDC/ERD后端,覆盖数据采集、消息、处理、存储与分析,确保高可用、安全与成本效率。
- Provide L2/L3 support after go-live; collaborate closely with global teams to keep a united solution. / 上线后提供二/三级支持;与全球团队紧密合作,尽可能保持统一方案。 主要职责 Major Responsibilities
- Set up and manage Alibaba Cloud services for routing, processing and analytics (e.g., VPC/SLB/ECS, ACK/Kubernetes, OSS, RDS/PolarDB, Kafka/RocketMQ, SLS, Function Compute, DataWorks/EMR/MaxCompute). / 搭建并管理用于路由、处理与分析的阿里云服务(如VPC/SLB/ECS、ACK/Kubernetes、OSS、RDS/PolarDB、Kafka/RocketMQ、SLS、函数计算、DataWorks/EMR/MaxCompute)。
- Ensure availability/performance via resilient architecture, autoscaling, caching and observability. / 通过弹性架构、自动扩缩、缓存与可观测性确保可用性与性能。
- Continue localization and modernization using cloud-native capabilities; drive CI/CD and Infrastructure as Code. / 利用云原生能力持续本地化与现代化;推进CI/CD与基础设施即代码。
- Fulfill compliance and security requirements (network isolation, encryption, IAM/RAM, key management, audit). / 满足合规与安全要求(网络隔离、加密、身份与权限、密钥管理、审计)。
- Monitor data transfer channels; troubleshoot transfer failures and backend incidents end-to-end. / 监控数据传输通道;端到端排查数据传输失败与后端故障。
- Mentor junior engineers and build internal knowledge; leverage AI to mine enterprise knowledge and construct scenario models. / 指导初级工程师并建设内部知识;运用AI挖掘企业知识并构建业务场景模型。 能力及技能 Competences and Capability & Skills
- Strong hands-on with Alibaba Cloud (ECS/VPC/SLB, ACK/K8s, OSS, RDS/PolarDB, SLS, CloudMonitor, RAM/KMS, WAF). / 精通阿里云(ECS/VPC/SLB、ACK/K8s、OSS、RDS/PolarDB、SLS、云监控、RAM/KMS、WAF)。
- Streaming & data processing: Kafka/RocketMQ, Flink/Spark, REST/gRPC APIs; microservices with Java/Spring Boot or Python. / 流式与数据处理:Kafka/RocketMQ、Flink/Spark、REST/gRPC;Java/Spring Boot或Python微服务。
- DevOps & IaC: Git/GitLab CI or Jenkins, Terraform/ROS, Helm; containerization with Docker/Kubernetes. / DevOps与IaC:Git/GitLab CI或Jenkins、Terraform/ROS、Helm;Docker/Kubernetes容器化。
- Observability & reliability: Prometheus/Grafana, ELK/Opensearch, tracing; SRE practices (SLA/SLO/SLI). / 可观测与可靠性:Prometheus/Grafana、ELK/Opensearch、链路追踪;SRE实践(SLA/SLO/SLI)。
- Security & compliance for data platforms (PIPL/PIA, network/data encryption, secrets, audit). / 数据平台安全与合规(个保法/PIA、网络/数据加密、密钥/凭据、审计)。
- Applied AI/ML basics to build knowledge Q&A, classification or anomaly models on platform data. / 具备AI/ML基础,可在平台数据上构建知识问答、分类或异常检测模型。 教育背景 Education
- Bachelor's or above in Computer Science, Software/Network Engineering, Data/Cloud Engineering or related. / 计算机、软件/网络工程、数据/云工程或相关专业本科及以上。 工作经验 Working Experience
- 5–10+ years in backend/cloud engineering; 3+ years on Alibaba Cloud; experience with large-scale data pipelines. / 5–10年以上后端/云端工程经验;3年以上阿里云经验;具备大规模数据管道经验。
- Experience providing L2/L3 support and participating in on-call rotations. / 具备二/三级支持与轮班值守经验。