About the Hiring Team

Tencent Overseas IT has the mission to empower Tencent’s rapid global growth with future ready, global IT platforms, applications and services. We are chartered to lead the Overseas IT strategy, architecture, roadmap and execution. Satisfying our internal/external customers and becoming a world class global IT team are our top aspirations.

What the Role Entails

Join Tencent’s Overseas IT team to help build the next-generation, AI-driven intelligent operations platform. You’ll apply cutting-edge AI to tackle challenges in a global business landscape while gaining valuable experience working in an international team.
Role Overview
We’re seeking a passionate, experienced Sr. IT Application Developer focused on AI for IT Operations. You will collaborate with our global IT team to design, develop, and maintain an automated, intelligent IT operations engine that supports Tencent’s worldwide growth.

● 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.

Who We Look For

Must-Have Skills

Software Engineering

● Frontend: Proficient with Next.js/Vue/Angular and TypeScript; performance optimization; frontend security (XSS/CSRF); experience with decoupled front-/back-end architectures and API integration.

● Backend: 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).

● System Design: 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.

● Software Engineering Practice: 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.

Data Science

● 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.

● Understanding of graph databases/data-science stacks (e.g., graph algorithms, graph machine learning).

● Skilled at analysis presentation and reporting; capable of building complex dashboards.

AI Application Development

● Understand RAG/GraphRAG principles and applicable scenarios; deep familiarity with open-source LLM/embedding APIs and parameters; able to choose embedding/LLM strategies considering concur