X9546VV3 |【中文岗】Senior Operations Engineer (SRE / AI Platform) 高级运维工程师（SRE / 人工智能平台）

职位亮点

• 加入全球领先的AI基础设施服务提供商的国际团队，参与构建和运维尖端AI平台。
• 独立负责全球用户的生产环境，直接影响核心服务的可靠性与性能。
• 深度接触多云架构、GPU计算和自动化运维，积累高价值技术经验。
• 跨文化协作环境，与中美技术团队紧密合作，提升中英文双语技术沟通能力。

核心职责

• 端到端运维 ownership：全面负责AI基础设施产品（Model-API、Serverless、GPU实例）的可用性、延迟、性能与效率。
• 故障响应与管理：作为生产事件第一响应人，深入排查根因（RCA），实施预防措施，并参与轮值待命。
• 自动化与工具开发：设计和维护自动化脚本与工具，实现运维任务、部署和故障恢复的流程化。
• 监控与告警体系：构建并优化监控告警系统（如Prometheus / Grafana），实现问题主动发现。
• 基础设施即代码（IaC）：使用Terraform / Ansible等工具管理云基础设施，保障环境一致性与可重复性。
• 性能与成本优化：持续分析系统性能与资源使用，识别瓶颈并优化云平台（AWS / GCP / Azure）成本。
• 跨职能协作：与中方工程团队密切合作，理解新功能、提供运维反馈，并确保新服务达到生产就绪状态。

硬性要求

• 5年以上DevOps / SRE / 云运维经验，有科技或云服务公司背景优先。
• 精通至少一家主流云平台（AWS / GCP / Azure）；具备容器化与编排技术实战经验（必须掌握Docker / Kubernetes）。
• 熟练使用至少一种脚本语言（如Python / Go / Shell）；掌握Terraform / Ansible等IaC工具。
• 具备监控与可观测性工具（如Prometheus / Grafana / ELK）的实战经验。
• 系统化的问题排查能力，能在压力下冷静处理复杂分布式系统问题。
• 中英文双语流利（书面和口语），能胜任跨团队技术沟通。
• 具备高度责任心和自驱力，适应远程 / 分布式团队独立工作模式。
• 加分项：有GPU加速计算环境经验；熟悉MLOps工具（如Kubeflow / MLflow）；了解Serverless技术及CI / CD流水线。

如何申请？

点击'Apply'申请或发送简历至[apply@ttukoffer.co.uk] ，邮件标题注明[申请 WBX9546VV3]。推荐奖金：成功推荐人选可获得推荐奖励。详情： https : / / ttukoffer.co.uk / refer-a-friend-bonus /

[Mandarin-speaking Role] Senior Operations Engineer (SRE / AI Platform)

• Location : Kuala Lumpur
• Compensation : RM10,000 - RM15,000
• Visa Sponsorship : Not Available

Job Highlights

• Join the international team of a leading global AI infrastructure service provider to build and operate cutting-edge AI platforms.
• Take end-to-end ownership of production environments for global users, directly impacting core service reliability and performance.
• Gain deep exposure to multi-cloud architecture, GPU computing, and automated operations in a high-impact role.
• Collaborate in a multicultural environment with engineering teams across China and North America, enhancing bilingual technical communication skills.

Key Responsibilities

• End-to-End Service Ownership : Assume primary responsibility for the availability, latency, performance, and efficiency of AI infrastructure products (Model-API, Serverless, GPU Instances).
• Incident Management & Response : Act as the first responder for production incidents, perform root cause analysis (RCA), and implement preventive measures. Participate in an on-call rotation.
• Automation & Tooling : Design, build, and maintain automation scripts and tools to streamline operational tasks, deployments, and failure recovery.
• Monitoring & Alerting : Develop and refine monitoring and alerting systems (e.g., Prometheus / Grafana) to enable proactive issue detection.
• Infrastructure as Code (IaC) : Manage and provision cloud infrastructure using IaC tools (e.g., Terraform, Ansible) to ensure consistency and repeatability.
• Performance & Cost Optimization : Continuously analyze system performance and resource utilization to identify bottlenecks and optimize cloud platform (AWS / GCP / Azure) costs.
• Cross-Functional Collaboration : Work closely with engineering teams in China to understand new features, provide operational feedback, and ensure production readiness of new services.

Must-Have Requirements

• 5+ years of hands-on experience in DevOps, SRE, or cloud operations, preferably in a tech or cloud service company.
• Expertise in at least one major cloud provider (AWS / GCP / Azure); practical experience with containerization and orchestration technologies (Docker / Kubernetes required).
• Proficiency in at least one scripting language (e.g., Python, Go, Shell); solid understanding of IaC tools like Terraform / Ansible.
• Hands-on experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK Stack).
• Systematic problem-solving skills with the ability to troubleshoot complex distributed systems under pressure.
• Professional fluency in both English and Mandarin (written and spoken) for effective cross-regional collaboration.
• Strong sense of ownership and self-drive, with the ability to work independently in a remote / distributed team setting.
• Nice to Have : Experience with GPU-accelerated computing; knowledge of MLOps tools (e.g., Kubeflow, MLflow); familiarity with serverless technologies and CI / CD pipelines.

How to Apply?

Click 'Apply' or send your resume to [apply@ttukoffer.co.uk] with the subject line [Apply to WBX9546VV3]. Refer a friend for this role and earn referral bonuses! See details : https : / / ttukoffer.co.uk / refer-a-friend-bonus /

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