Operation Engineer

该职位来源于猎聘 Job Responsibilities：

• The platform operation engineer will work on operation requests/incidents on a daily basis. Provide support in areas of Incident Management, Problem Management, and Change Management process coverage for Production and Non-Production environments, provide consultancy and platform advisory, and support for multiple AI Platforms, Applications, and Use Cases (e.g. new MLops/AI gateway use cases).
• Maintain the Product Documentation and Knowledge Bases, including Gitlab MD Documentations, Confluence, Github Pages, Google Sites, Backstage, etc.
• Building Operations Frameworks including JIRA, GitLab, confluence, process, and CI/CD for content publishing.
• Perform Security operations including vulnerability scanning, security posture management, remediation tracking, and enforcement of security baselines, hardening standards, and compliance controls across cloud environments.
• Manage OS, container, and platform patching lifecycle, including patch assessment, scheduling, testing, and rollout across Production and Non-Production environments to address vulnerabilities and maintain compliance.
• Implement and maintain Identity and Access Management (IAM), least-privilege access, secrets/key management, network security (firewalls, security groups, segmentation), and encryption in transit and at rest.
• Design, implement, and test Disaster Recovery (DR), Business Continuity (BCP), backup and restore strategies, including regular DR drills, failover/failback validation, and RTO/RPO compliance.
• Global Team Collaboration for Solution Design and Troubleshooting
• Client Process execution (e.g. submit Service Now requests or other system requests, Operations Team Accounts Management, System Accounts Management, etc.)
• Oversee the operational tasks and orchestrate the DevOps engineer to resolve problems and improve operations.
• Provide Monthly Report with Operations KPI in client Template. Qualifications & Requirements: Key skills for the position
• Excellent English reading and writing skills.
• Familiar with AWS/Ali Cloud technology.
• Understand Infrastructure and related CI/CD technologies Personal competency requirement from client：
• AI adoption:
• Harness / Loop Engineering & Human-in-the-Loop (HITL)
• GenAI / RAG / GraphRAG & Vector Databases (e.g., Milvus, pgvector, Qdrant)
• Agentic Workflows & Multi-Agent Orchestration
• Model Context Protocol (MCP) Server Integration & Development
• AI Guardrails & Compliance Engineering
• Use case observability & traceability analysis
• Prompt Engineering & Systematic Model Evaluation Frameworks
• Structured Data/ Non-Structured Data Reporting
• Data Modeling (Knowledge Graph, Data Lake, Data Vault, Data Warehouse)
• Healthcare Expertise Knowledge and Communication
• Project Management
• AI Platform Management and Backend Development:
• AWS
• AliCloud Infrastructure
• On-Premises Infrastructure
• IaC
• Kubernetes
• Database (i.e. PostgreSQL, MySql, Redshift)
• Data Modeling
• Schedulers (i.e. Kubernetes, celery, SLURM)
• MicroService and REST API
• Executer Development
• IAM Integration (Ping Federation, Active Directory, Centrify, Azure AD, Okta), RBAC
• OS management (Linux OS, Redhat Satellite, Drivers, Package management, etc.) -

vLLm, Kubeflow, SGlang, AIML frameworks

• Frontend Development
• Frontend Framework (React/Vue/Angular/OpenWebUI, etc.)
• Frontend Technology (Javascript/Typescript/HTML/CSS/ES6 etc.)
• Backend API Integration and REST API
• Build Tools (Webpack/Vite etc)
• End-to-End Automation Framework
• Data Modeling & Database
• Operations Frameworks and soft skills
• DevOps and Agile Framework and Toolsets
• ITIL
• SDLC
• Operations Frameworks
• Global Team Collaboration for solution design and troubleshooting
• Professional Documentation (English)