Principal Software Engineer (Distributed Systems, Middleware & High-Concurrency Backend)

Key Responsibilities:

• Own the design, development, and evolution of large-scale backend systems supporting high-concurrency, high-throughput, and high-availability production environments.
• Architect and implement distributed system components including microservices, messaging systems, configuration centers, distributed locks, and service governance frameworks.
• Lead backend platform design for systems operating at scale (tens of millions of users), ensuring performance, scalability, and reliability under peak traffic conditions.
• Design and optimize middleware systems (e.g., message queues, scheduling systems, configuration management platforms) to support core business services.
• Drive system performance engineering including latency optimization, throughput tuning, JVM performance analysis, and stress testing.
• Design and support multi-data-center and multi-active deployment architectures, including traffic routing strategies, failover mechanisms, and cross-region consistency handling.
• Lead technical deep-dives for production incidents, performing root-cause analysis across distributed logs, tracing systems, and infrastructure layers.
• Improve system stability and delivery efficiency through CI/CD pipeline enhancements and deployment process optimization.
• Provide technical leadership in backend architecture discussions, code reviews, and system design standardization.
• Collaborate with cross-functional teams to translate business requirements into scalable and maintainable backend system solutions.

Requirements:

• Strong expertise in Java, including concurrency, performance tuning, and JVM-level optimization.
• Proven experience designing and operating distributed systems at scale (high traffic, high availability environments).
• Strong hands-on experience with middleware technologies such as Kafka, RocketMQ, Zookeeper, Redis, and similar systems.
• Experience building or maintaining core infrastructure systems such as messaging platforms, scheduling systems, or configuration centers.
• Solid understanding of distributed systems principles including consistency, fault tolerance, replication, and scalability trade-offs.
• Experience in multi-data-center or multi-active system architecture design is highly preferred.
• Familiarity with system observability, monitoring, and production troubleshooting in large-scale environments.
• Exposure to CI/CD pipelines, DevOps practices, and cloud environments (AWS / Alibaba Cloud) is an advantage.
• Strong problem-solving ability and experience working in complex enterprise or internet-scale systems.