WeChat - Senior Software Engineer - Infrastructure

About Tencent

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen, China, our two guiding principles are to use technology for good and to provide value to our users. Our growth strategy is built upon attracting the best people and creating an amazing work atmosphere that balances the energy of a start-up with the resources of a global innovation leader.

About the Role

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.

Minimum Qualifications

• Bachelor’s degree or above in Computer Science, Computer Engineering, Information Systems, or a related technical field.
• At least 6 years of experience in software engineering for infrastructure, backend platform engineering, or a closely related engineering role supporting large-scale internet services.
• 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++.
• Demonstrated experience designing and building infrastructure software, internal platforms, developer tools, or backend systems used in production environments.
• Deep hands-on expertise in at least one of the following specialization areas:
• ○ Distributed Systems and Microservices: for example service frameworks, orchestration, service discovery, dependency management, fault tolerance, or platform capabilities for microservice environments
• ○ Databases, Storage Systems, and Message Queues: for example MySQL, PostgreSQL, Redis, distributed databases, object or block storage systems, Kafka, Pulsar, RabbitMQ, replication, failover, backup and recovery, or queue and streaming platform engineering
• ○ AI Infrastructure: for example 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
• Strong understanding of Linux or Unix systems, backend runtime environments, and systems-level debugging.
• Good understanding of networking and internet fundamentals, including HTTP, DNS, TLS, TCP/IP, and general client-server architecture.
• 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.
• Strong problem-solving and analytical skills, with the ability to drive complex technical problems from design through production impact.

Preferred Qualifications

• 6+ years of experience in infrastructure software engineering or platform engineering for hyperscale or globally distributed services.
• Strong experience with Kubernetes, containers, and multi-cluster platform development or governance.
• Experience building internal developer platforms, self-service infrastructure systems, or infrastructure APIs.
• Experience with FaaS, event-driven platforms, or internal compute orchestration systems.
• 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.
• 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.
• Experience partnering across software, security, platform, data, and AI teams to improve system architecture and reduce long-term operational burden.
• Fluency in both English and Mandarin Chinese to collaborate effectively with global stakeholders and teams based at headquarters.