We are looking for a Senior Performance Test Engineer to join our high-performing team and contribute to the performance, scalability, and reliability of our trading platforms. This role involves hands-on performance testing and analysis in a high-throughput, low-latency environment, collaborating closely with development and infrastructure teams to ensure system efficiency and stability.

 

You will work with modern tools and practices, leveraging K6 with JavaScript/TypeScript, containerized environments (Docker, Kubernetes), and cloud-native performance strategies. While this is primarily a technical, individual contributor role, there may be opportunities to mentor and guide junior engineers on the team as your role evolves.

 

The main responsibilities of the position include:

• Develop and maintain performance testing scripts using K6 and JavaScript/TypeScript, focusing on reusable and scalable testing approaches
• Execute various types of performance tests (load, stress, soak) on REST and GraphQL APIs
• Monitor and analyze test results using tools like Grafana and Prometheus, providing actionable recommendations
• Collaborate with engineering teams to identify and troubleshoot system performance bottlenecks
• Apply performance best practices in Spring Boot, JVM, and microservice-based environments
• Integrate performance tests into CI/CD pipelines (GitLab, Jenkins) to enable continuous validation
• Take on mentorship or leadership responsibilities over junior engineers within the team over time

 

Main requirements:

• BSc/MSc in Computer Science, or related discipline
• 5+ years of hands-on experience in QA
• 2+ years of experience in performance testing using tools like K6 or Gatling
• Proficiency in JavaScript/TypeScript for writing test scripts
• Strong experience in API performance testing (REST, GraphQL), including rate limiting and caching strategies
• Familiarity with Spring Boot applications and microservices architecture
• Experience working in Docker/Kubernetes environments, including performance-related configurations (HPA, resource limits, etc.)
• Proficiency with monitoring/observability tools such as Grafana, Prometheus, etc.
• Experience integrating testing into CI/CD pipelines (GitLab CI, Jenkins)

 

The following will be considered an advantage:

• Experience with gRPC, WebSockets, and HTTP/2 performance testing
• JVM tuning and database performance optimization expertise
• Familiarity with cloud-native performance strategies and service mesh technologies (Istio, Linkerd)
• Exposure to distributed tracing tools like Jaeger or OpenTelemetry

 

Benefit from:

• Attractive remuneration package
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities