WXG - Senior Software Engineer - Infrastructure

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.

• Develop backend systems, platform capabilities, DevOps tooling, CI/CD frameworks, and automation.
• Improve scalability, deployment efficiency, fault tolerance, disaster recovery, and production reliability.

• 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 in production environments.
• 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; or 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.
• 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 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.
• 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 focused on infrastructure, backend platform engineering, or a closely related role supporting large-scale internet services.
• Experience in infrastructure 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 headquarters-based teams.
• Strong analytical and problem-solving skills with the ability to drive complex technical problems from design through to production impact.