Site Reliability Engineer
集群运营与管理 · 多个业务单位中管理和维护容器集群 (Kubernetes, Docker) 和开源组件集群 (Kafka, Redis, Elasticsearch) ·确保分布式系统的最佳性能，可扩展性和可靠性 ·基础设施平台开发 ·设计，构建和增强基础设施操作平台 ·发展和维护基础设施管理，CI/CD 管道，监控/警报和集中登记系统 ·驱动平台标准化和自动化倡议高可用性和可信度 ·通过主动监测和事件响应来确保生产服务最大的正常时间 · 持续优化服务架构，部署战略和运营流程 · 实施并维护 SLA/SLO 框架和可靠性工程实践 自动化与过程改进 · 领导自动化操作和维护系统的发展 · 为提高团队生产力创建自我服务工具和工作流程 · 在编码和配置管理等基础设施方面建立最佳实践 · 需要资格经验和教育 · 2年以上在系统运行，DevOps 或网站可靠性技术 (SRE) 上实践经验 · 大专计算机科学，工程或相关技术领域优先学位 云和基础设施 · 对公共云平台 （AWS,Azure 或 GCP）的经验是高度重视的 · 大规模互联网架构和分布式系统的强大理解 · 基础设施监测，记录和可观测工具的经验证明技术技能 · 使用 Shell,Python 或类似语言编写和自动化的能力 · 集装箱技术的强大的知识 (Kubernetes,Docker) · 操作生产级容器群体和管理 CI/CD 管道的实践经验 · 与共同基础设施组件的强大熟悉：Nginx,MySQL,Redis,Kafka,Elasticsearch 高级网络 （优先）· 服务网架构，Cilium CNI 和 eBPF 技术的经验 · 了解网络安全，负载平衡和流量管理 · 对云本土网络模式和最佳实践的知识 原始地发布在喜马拉雅。
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Cluster Operations & Management
- Manage and maintain container clusters (Kubernetes, Docker) and open-source component clusters (Kafka, Redis, Elasticsearch) across multiple business units
- Ensure optimal performance, scalability, and reliability of distributed systems
Infrastructure Platform Development
- Design, build, and enhance infrastructure operation platforms
- Develop and maintain systems for infrastructure management, CI/CD pipelines, monitoring/alerting, and centralized logging
- Drive platform standardization and automation initiatives
High Availability & Reliability
- Ensure maximum uptime for production services through proactive monitoring and incident response
- Continuously optimize service architecture, deployment strategies, and operational processes
- Implement and maintain SLA/SLO frameworks and reliability engineering practices
Automation & Process Improvement
- Lead the development of automated operations and maintenance systems
- Create self-service tools and workflows to improve team productivity
- Establish best practices for infrastructure such as code and configuration management
Required Qualifications
Experience & Education
- 2+ years of hands-on experience in Systems Operations, DevOps, or Site Reliability Engineering (SRE)
- Bachelor's degree in Computer Science, Engineering, or related technical field preferred
Cloud & Infrastructure
- Experience with public cloud platforms (AWS, Azure, or GCP) is highly valued
- Strong understanding of large-scale internet architecture and distributed systems
- Proven experience with infrastructure monitoring, logging, and observability tools
Technical Skills
- Proficiency in scripting and automation using Shell, Python, or similar languages
- Strong knowledge of containerization technologies (Kubernetes, Docker)
- Hands-on experience operating production-grade container clusters and managing CI/CD pipelines
- Strong familiarity with common infrastructure components: Nginx, MySQL, Redis, Kafka, Elasticsearch
Advanced Networking (Preferred)
- Experience with Service Mesh architectures, Cilium CNI, and eBPF technologies
- Understanding network security, load balancing, and traffic management
- Knowledge of cloud-native networking patterns and best practices
Originally posted on Himalayas