Overview

We are looking for a skilled Load & Performance QA Engineer to own the performance, scalability, and stability validation of Cybereason’s end-to-end system. This role focuses on designing and executing performance tests that simulate real-world workloads across endpoint sensors, backend services, data pipelines, and user-facing APIs. You will ensure the system meets performance, capacity, and reliability requirements to deliver an exceptional user experience under normal and extreme conditions.

This position requires a minimum of 3 hours of daily overlap with our team in Japan to enable effective collaboration across time zones.
Client:
Our client is a multi-national company dedicated to Cybersecurity.
Project Overview:
Project aims to support our client in increasing the capacity and productivity of their development and technology teams by leveraging our expertise to deliver measurable value and tangible results. Through close collaboration and a results-driven approach, we help strengthen technical capabilities, optimize delivery, and enable teams to achieve their objectives more efficiently.

Responsibilities:
  • Design, develop, and execute load, stress, and performance tests for complex distributed systems.
  • Simulate real-world workloads across endpoint sensors, backend services, data pipelines, and APIs.
  • Analyze test results, identify bottlenecks, and collaborate with engineering teams to optimize performance.
  • Define and maintain performance benchmarks, KPIs, and SLAs.
  • Develop automation frameworks for performance testing and integrate them into CI/CD pipelines.
  • Monitor system behavior under high-scale conditions and provide actionable insights for scalability improvements.
  • Document findings and provide recommendations for capacity planning and infrastructure optimization.
Required Qualifications:
  • Proven experience in performance and load testing for large-scale systems.
  • Strong knowledge of performance testing tools (e.g., JMeter, Gatling, Locust, or similar).
  • Proficiency in scripting languages (Python, Bash, etc.) for test automation.
  • Solid understanding of distributed systems, microservices architecture, and cloud environments.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Excellent analytical and problem-solving skills.
Nice To Have:
  • Testing security products, SaaS platforms, or high-scale data systems.
  • Understanding of telemetry, event processing, and data retention systems.
  • Awareness of performance implications of encryption, authentication, and authorization.
  • Background in QA for cybersecurity or infrastructure-heavy products.
Note:

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