Senior Performance Test Engineer (k6)

The Role:   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 a technical role, there may be opportunities to mentor and guide engineers on the team as your role evolves. 

The main responsibilities of the position include:

Define and refine performance testing strategy across the company 

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 

May take on mentorship or leadership responsibilities over 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 

Experience in managing/leading a team 

Benefit from:

Attractive remuneration package

Intellectually stimulating work environment

Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

Let’s Connect – Intro Chat with Talent Acquisition

Deep Dive – First Interview with Your Future Team

Final Connection – Final Interview