Binance
Senior Performance QA Engineer
Rol remoto de Performance Engineering con fit claro de ubicación del candidato.
Publicado15 jun 2026
Países elegibles3 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
RAE de Hong Kong (China)SingapurTaiwán
Resumen del rol
Senior Performance QA Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Responsibilities
- Translate business and technical requirements into concrete performance test plans covering load, stress, scalability, and reliability scenarios.
- Analyze Java application performance at both architecture and code levels — identify bottlenecks, diagnose root causes, and drive optimization end-to-end.
- Design and implement architecture-level and code-level optimizations to enhance system throughput and stability.
- Work closely with DevOps to ensure production-level high availability across distributed systems.
- Independently troubleshoot real-time performance issues and deliver solutions with full ownership.
- Develop internal tools for automated performance monitoring, testing, and issue analysis.
- Review and validate AI-generated code for correctness and performance risks — leverage your engineering expertise to assess whether AI-assisted code meets production quality standards.
Requirements
- Strong ability to identify performance bottlenecks at system, service, and code levels, including deep proficiency in Java application performance analysis and JVM-level tuning (GC optimization, heap/thread analysis, profiling).
- Hands-on experience troubleshooting microservice performance issues in production environments.
- Practical experience with performance engineering tools such as K6 or JMeter.
- Proficiency with relational and NoSQL databases (MySQL, MongoDB), including query optimization and slow-query analysis.
- Familiarity with performance analysis for middleware such as Kafka, Redis, RabbitMQ.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Solid Linux skills — command-line and system-level troubleshooting.
- Programming language: Java (mandatory). Strong engineering instincts to evaluate code quality and performance implications.
- Strong passion for building systems that excel in performance, scalability, and reliability.
- We also welcome:
- Java backend engineers looking to transition into QA — if you have deep Java development experience and a passion for performance engineering, this role is a great fit.
- New graduates with demonstrated Java and performance testing foundation.
Nice to haves
- Experience at enterprise-grade distributed systems environments.
- Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) and ability to critically assess AI-generated code for performance and correctness.
- Experience with public cloud platforms (AWS, Azure, GCP, AliCloud).
- Hands-on experience setting up monitoring/observability stacks (Prometheus, Grafana).
- Linux kernel or OS-level performance analysis skills.
- Experience triaging and resolving production performance incidents.
- Ability to leverage APM tools (e.g., SkyWalking, Pinpoint, Jaeger) for performance troubleshooting.
- Rust programming experience.
- Experience working within distributed, remote teams.
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