Business Unit

WeiXin Group(WXG) is responsible for the construction and operation of the Weixin ecosystem and leveraging Weixin's open platforms such as Official Accounts, Mini Programs, Weixin Pay, WeCom and search function. WXG provides solutions and connectivity for intelligent upgrades across all industries. WXG is also responsible for the development and operation of QQ Mail, WeRead and other products.

What the Role Entails

WeChat is looking for Senior Software Engineers to build the infrastructure software and internal platforms behind services used by more than a billion users worldwide.



You will develop backend systems, platform capabilities, DevOps tooling, CI/CD frameworks, and automation that improve scalability, deployment efficiency, fault tolerance, disaster recovery, and production reliability. This is a software-engineering-first infrastructure role for candidates with strong coding ability and deep expertise in at least one of the following areas: distributed systems and microservices; databases, storage systems, and message queues; or AI infrastructure.

• Engineering Fundamentals Strong software engineering fundamentals including data structures, algorithms, system design, debugging, testing and code quality. Strong programming skills in at least one backend or systems language, preferably Go and/or C++.

• Infrastructure and Platform Experience Demonstrated experience designing and building infrastructure software, internal platforms, developer tools or backend systems in production environments.

• Specialisation — Deep Hands-On Expertise in at least one of: a) Distributed Systems and Microservices — service frameworks, orchestration, service discovery, dependency management, fault tolerance, or platform capabilities for microservice environments
  b) Databases, Storage Systems and Message Queues — MySQL, PostgreSQL, Redis, distributed databases, object or block storage, Kafka, Pulsar, RabbitMQ, replication, failover, backup and recovery, or queue and streaming platform engineering
  c) AI Infrastructure — model serving platforms, distributed training environments, inference systems, GPU or accelerator scheduling, AI workflow orchestration, high-throughput storage for AI workloads, or platform software for machine learning systems

• Engineering Practices Experience with CI/CD systems, release automation, configuration management and safe production change practices. Experience building automation for operational efficiency, reliability improvement or infrastructure lifecycle management

• Systems and Networking Strong understanding of Linux or Unix systems, backend runtime environments and systems-level debugging. Good understanding of networking fundamentals including HTTP, DNS, TLS and TCP/IP, and general client-server architecture.

Who We Look For

• Education Bachelor's degree or above in Computer Science, Computer Engineering, Information Systems, or a related technical field.

• Experience At least 6 years of experience in software engineering focused on infrastructure, backend platform engineering, or a closely related role supporting large-scale internet services.

• Scale and Platform Depth Experience in infrastructure or platform engineering for hyperscale or globally distributed services. Strong experience with Kubernetes, containers and multi-cluster platform development or governance.

• Platform and Developer Experience Experience building internal developer platforms, self-service infrastructure systems or infrastructure APIs. Experience with FaaS, event-driven platforms or internal compute orchestration systems.

• Observability and Reliability Experience with observability platforms, telemetry pipelines, monitoring systems or production diagnostics tooling. Experience with disaster recovery architecture, resilience engineering, failover automation or business continuity tooling.

• Engineering Excellence Experience improving platform engineering practices across design review, test strategy, release safety and operational excellence. Proven ability to mentor engineers and influence infrastructure engineering standards across teams.

• Cross-Functional Collaboration Experience partnering across software, security, platform, data and AI teams to improve system architecture and reduce long-term operational burden.

• Language Fluency in both English and Mandarin Chinese to collaborate effectively with global stakeholders and headquarters-based teams

• Problem Solving Strong analytical and problem-solving skills with the ability to drive complex technical problems from design through to production impact.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.