Tencent Overseas IT is looking to build the next-generation, AI-driven intelligent operations platform to support Tencent's rapid global growth.
Requirements
- Proficient with Next.js/Vue/Angular and TypeScript; performance optimization; frontend security (XSS/CSRF); experience with decoupled front-/back-end architectures and API integration.
- Proficient in Java/Go/Python/Node.js; solid grasp of distributed systems and microservices (RPC, message queues, service registry & discovery); strong database design and optimization (MySQL, PostgreSQL, NoSQL, caching).
- Able to design high-concurrency, highly available systems; familiar with load balancing, distributed caching, and messaging middleware; enterprise-grade monitoring/logging/alerting (ELK, Prometheus, Grafana); cloud-native and containerization (Kubernetes, Docker, microservice governance). Experience with unit/integration/contract testing and with performance analysis/capacity planning.
- Clear module boundaries and extensibility; robust exception and degradation strategies; CI/CD (GitLab CI, Jenkins, GitHub Actions); coding standards and automated tests (unit/integration/performance); DevOps and agile delivery; security compliance and enterprise development norms.
- Familiar with the end-to-end data lifecycle and hands-on pipeline work: data cleaning, feature engineering, modeling, evaluation, deployment.
- Able to design/implement task-appropriate data strategies, using statistics, ML, and LLM/Agent tooling to balance requirements, compute resources, and development efficiency.
- Understand RAG/GraphRAG principles and applicable scenarios; deep familiarity with open-source LLM/embedding APIs and parameters; able to choose embedding/LLM strategies considering concurrency, context, and task nature; aware of application-level mitigations for AI hallucinations.
Responsibilities
- Own end-to-end delivery from requirements through operations: high-quality coding and reviews, automated testing and CI/CD, observability, and security/compliance. Drive initiatives independently and collaborate effectively across teams.
- Develop internal AI applications; build standardized RAG (Retrieval-Augmented Generation) + Agent workflows (supporting multi-agent collaboration) to elevate enterprise IT management.
- Build an enterprise knowledge retrieval layer: document cleaning and chunking, embedding pipelines, hybrid retrieval with evidence traceability, serving ITSM/ITOM and other ITOps scenarios.
- Model CMDB/dependency topologies and an operations knowledge graph using graph databases; integrate with semantic/vector retrieval to form GraphRAG for root-cause clues and impact analysis.
- Integrate and govern enterprise APIs (e.g., ServiceNow, Workday, Microsoft Graph/SCIM, Slack/WeCom, Atlassian, Zoom).
- Emphasize stability and cost: define exception/failure matrices, graceful-degradation and quota policies; codify platform templates and best practices.
- Collaborate with frontend/platform/security/business teams to deliver.
Other
- Strong cross-team communication and English proficiency
- Excellent communication skills and experience working in global teams.
- Bachelor’s degree or above in Computer Science, Information Systems, or a related field.
- 5+ years of software development experience.
- Bilingual (Chinese/English) preferred
