Responsibilities

📍Lead or participate in the design and development of service monitoring modules, including log management, performance metrics collection, and automated anomaly alerting systems. 📍Build and optimize observability solutions using Prometheus, Grafana, Spring Boot Actuator, and related monitoring toolchains; own deployment, tuning, and stability improvement. 📍Develop customized monitoring metrics (e.g., JVM memory usage, thread pool health, API response latency) and integrate them into Prometheus/Grafana for visualization and alert rule configuration. 📍Analyze large-scale monitoring data to identify performance bottlenecks such as database slow queries, latency spikes, or resource contention, and drive end-to-end optimization. 📍Collaborate with backend, SRE, and platform engineering teams to enhance system reliability, scalability, and real-time monitoring coverage across services. 📍Contribute to internal tooling, automation frameworks, and best-practice guidelines to elevate observability standards across the engineering organization.

Requirements

📍Solid backend engineering experience with strong proficiency in Java (Spring Boot / microservices). multithreading, and JVM performance tuning. 📍Strong proficiency in Java, with solid understanding of microservices architecture, multithreading, and JVM performance tuning. 📍Experience with mainstream monitoring ecosystems such as Prometheus, Grafana, Spring Boot Actuator, and hands-on deployment and configuration in production environments. 📍Practical experience building custom metrics, dashboards, alerting rules, and troubleshooting end-to-end system performance issues. 📍Familiarity with database and middleware performance diagnostics (e.g., slow SQL, Redis/Kafka latency, connection pool tuning).

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