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 have

• 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.

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.