Summary
About the Role
We are looking for a Senior Performance QA Engineer to join a leading global firm in the financial technology space. This position focuses on ensuring the stability, scalability, and performance of complex, lowlatency trading and data platforms. You will work on highperformance, realtime systems in an agile environment, conducting deep performance analysis, identifying bottlenecks, and driving performanceoptimized design. In this role, you will contribute to the enhancement of performance testing frameworks, collaborate closely with engineering and architecture teams, and promote best practices throughout the software development lifecycle.
Key Responsibilities:
- Conduct deep performance testing and analysis on lowlatency, realtime systems
- Identify, diagnose, and resolve performance bottlenecks across the technology stack
- Explore, evaluate, and recommend performance testing tools, frameworks, and methodologies
- Partner with architecture and engineering teams to advise on performanceoptimized system design
- Perform systemlevel analysis covering throughput, latency, concurrency, scalability, and failover
- Review existing architecture and drive performancefocused improvements
- Communicate findings and insights to technical stakeholders, business teams, and leadership
- Collaborate with developers to validate fixes and retest performance metrics
- Promote and contribute to a performancedriven engineering mindset across teams
- Provide structured, insightful feedback on issues, risks, and improvement opportunities
Must Have Skills:
- Proven experience working with lowlatency, highthroughput, highavailability, realtime, faulttolerant systems
- 10+ years of relevant experience in performance engineering
- Handson Java coding experience
- Strong understanding of performance engineering fundamentals and system design for distributed systems
- Expertise with performance testing tools (e.g., JMeter, Gatling, Locust, k6)
- Proficiency with profiling/monitoring tools (Grafana, Prometheus, Splunk, New Relic, AppDynamics)
- Experience with DevOps practices and tooling (CI/CD, Docker, pipelines, scripting)
- Experience with Kafka or similar eventstreaming platforms
- Comfortable working with cloud and containerized environments (e.g., Cloud, Kubernetes)
- Excellent communication, analytical, and problemsolving skills
Nice to haves:
- Experience working in Capital Markets or trading systems
- Familiarity with FIX protocol
We regret to inform that only shortlisted candidates will be notified / contacted.
EA Registration No.: Yap Jia Yi, R25157934
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544
