Principal Cloud Performance SDET Lead

Vonage

Madrid

Presencial

EUR 85.000 - 120.000

Jornada completa

14 días+

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Descripción de la vacante

Vonage in Madrid is seeking a senior Performance Engineering Lead to define and execute strategy across high-availability cloud platforms. You will mentor SDETs, coordinate across feature teams, and build scalable performance frameworks using Python, Java, or TypeScript.

You will implement traffic replay, chaos testing with AWS Fault Injection Simulator, monitor with Grafana/CloudWatch, and embed performance into CI/CD pipelines to prevent latency regressions.

Formación

  • Hands-on backend performance engineering with Python, Java, or TypeScript.
  • Experience in AWS-based cloud-native systems with scalability focus.
  • Leads QA/SDET teams to plan and execute performance tests.
  • Expertise in API performance testing and non-functional validation.
  • Knowledge of observability, monitoring, and log analysis tools.

Responsabilidades

  • Define and lead performance engineering strategy for high-availability platforms.
  • Coordinate distributed SDET guilds across feature teams and sprint cycles.
  • Develop scalable performance frameworks and data-driven tests.
  • Manage production traffic replay and realistic load generation.
  • Drive CI/CD integration for performance validation and latency guards.
  • Leverage Grafana, CloudWatch, and PMM for performance analysis.

Conocimientos

Performance engineering
Lead SDET teams
AWS cloud services
k6
GoReplay
CI/CD integration
Observability tooling
Python/Java/TypeScript
System architecture

Herramientas

k6
GoReplay
Jenkins
GitHub Actions
Grafana
CloudWatch
Coralogix
PMM
Kafka
RabbitMQ
MySQL
Tungsten

Descripción del empleo

Vonage in Madrid is seeking a senior Performance Engineering Lead to define and execute strategy across high-availability cloud platforms. You will mentor SDETs, coordinate across feature teams, and build scalable performance frameworks using Python, Java, or TypeScript.

You will implement traffic replay, chaos testing with AWS Fault Injection Simulator, monitor with Grafana/CloudWatch, and embed performance into CI/CD pipelines to prevent latency regressions.

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