Responsibilities:

📍Lead the top-level design and long-term planning of the company's unified microservice governance system, covering various communication methods like RPC, messaging, and gateways, to build a stable, efficient, and intelligent service governance platform. 📍Spearhead the R&D and implementation of adaptive governance algorithms, including but not limited to adaptive rate limiting based on queuing theory or Little's Law, adaptive circuit breaking based on error rates and response times, and adaptive load balancing based on node load and health status. 📍Conduct in-depth research into the core mechanisms of mainstream RPC frameworks (e.g., Dubbo3, gRPC), including service discovery, load balancing, serialization protocols, and threading models, and lead the deep customization and performance optimization of these frameworks 📍Take charge of the architectural evolution and high-availability construction of core middleware such as configuration centers (Apollo), service registries (etcd, Nacos, ZK), and distributed task schedulers (XXL-JOB、Argo Workflow), ensuring the ultimate stability of foundational services Design and promote the platform-level implementation of advanced release strategies like canary release, blue-green deployment, and traffic dyeing to improve R&D delivery efficiency and the stability of system changes. 📍Build a resilience-oriented architecture with a "desired state" mindset, introducing chaos engineering principles and tools to proactively identify system vulnerabilities and continuously enhance the system's anti-fragility. 📍As a middleware architect, provide expert-level guidance to business units on microservice decomposition, high-availability architecture design, and performance/capacity planning.

Qualifications:

📍Bachelor's degree or higher in Computer Science or a related field, with 8+ years of R&D experience in middleware or distributed systems. 📍Proficient in Java or Golang, with a deep understanding of JVM/GC tuning or the Go runtime, and extensive experience in online troubleshooting and performance optimization. 📍Systematic knowledge and profound practical experience in microservice governance areas such as rate limiting, circuit breaking, degradation, isolation, retries, and load balancing, with in-depth research into the underlying algorithmic principles. 📍In-depth understanding of the source code and design philosophy of at least one mainstream RPC framework (Dubbo3, gRPC) or service governance framework (Spring Cloud, Sentinel) Familiarity with the implementation principles of service registries/configuration centers like Nacos, etcd, and Zookeeper, with a solid foundation in CAP/BASE theory and consensus algorithms like Raft/ZAB.

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