Назад
2 дня назад

Performance Test Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
NM

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TL;DR

Performance Test Engineer (QA/Performance): Design and execute performance, load, stress, and scalability tests for API, E2E, and infrastructure with an accent on CI/CD integration, performance baselines (SLAs/SLOs), and observability-driven bottleneck analysis. Focus on building dashboards, validating scalability and autoscaling in Kubernetes, and producing actionable performance insights to improve reliability and efficiency.

Company

Role for a client in the telecommunications industry.

What you will do

  • Design and execute performance, load, stress, and scalability tests for API, E2E, and infrastructure.
  • Integrate performance testing into CI/CD pipelines.
  • Define and track performance baselines, SLAs, and SLOs; build dashboards to visualize trends and bottlenecks.
  • Identify bottlenecks and collaborate with development teams to optimize services and infrastructure.
  • Run capacity planning and scalability analysis; produce actionable performance reports and insights.

Requirements

  • Several years of experience in Cloud infrastructure and tooling (AWS).
  • Strong experience with performance testing tools such as JMeter, k6, and Taurus DLT.
  • Experience integrating performance tests into CI/CD (e.g., GitHub Actions, Jenkins).
  • Strong scripting skills (Java, JavaScript, Python, or similar) and ability to analyze metrics (latency, throughput, error rates).
  • Experience with distributed systems/microservices, REST APIs and async communication patterns, and observability tools (Elastic Stack/Kibana, CloudWatch).
  • Ability to provision and tune test environments by reading/modifying Terraform configurations; experience validating autoscaling in Kubernetes (EKS).

Culture & Benefits

  • Hybrid work in Skopje.
  • Work closely with QA, development teams, team leaders, and architects.
  • Daily use of AI coding assistants with expectations to review and validate AI-generated code for correctness, security, performance, and maintainability.

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