Binance

Backend Engineer – Service Monitoring, Observability

Binance

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇸🇬 Singapore

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Job Level

Mid-LevelSenior

Tech Stack

GoGrafanaJavaKafkaMicroservicesPrometheusRedisRustSpringSpring BootSpringBootSQL

About the role

  • 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).
  • Good understanding of system-level performance concepts—CPU, memory, I/O, GC, thread pools, network stack, etc.
  • Experience with Go or Rust is a strong plus.
  • Strong analytical mindset, ownership, and ability to work in a fast-paced, highly distributed environment.
Benefits
  • Competitive salary and company benefits
  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
JavaSpring BootmicroservicesmultithreadingJVM performance tuningPrometheusGrafanacustom metricsdatabase performance diagnosticsGo
Soft skills
analytical mindsetownershipcollaborationability to work in a fast-paced environment