Performance Test Engineer (AI-Driven, Cloud Platform)

Five9; Bordeaux; Sur place; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Five9 Shares

Bonus Scheme

10% Flexi Benefit

Meal Allowance

Medical Insurance

Life Insurance

25 day Annual Leave + Public Holidays

Résumé du poste

Five9 is seeking a Performance Test Engineer to join the Performance Engineering team. You will design, build and execute performance tests across our cloud contact center platform, creating workload models that reflect production traffic and guiding improvements with clear findings.

You will implement tests using k6, Gatling or JMeter, integrate with CI/CD, and work with observability tools to monitor and report results.

Qualifications

• 4–7 years of hands‑on experience in performance testing or performance engineering.
• Practical experience writing and maintaining test scripts in one or more of: k6, Gatling, JMeter, or equivalent.
• Solid understanding of performance test types and when to apply them (load, stress, soak, spike, scalability).
• Experience defining workload models and translating production metrics into test scenarios.
• Proficiency with application performance monitoring tools (e.g. Datadog, New Relic, Grafana, Prometheus, AppDynamics).
• Ability to interpret test results and thread/heap dumps, identify bottlenecks, and communicate findings clearly to technical and non‑technical stakeholders.
• Experience integrating performance tests into CI/CD pipelines (e.g. Jenkins, GitLab CI, GitHub Actions).
• Scripting or programming skills in at least one language (Python, JavaScript/Node.js, Java, or Groovy).
• Familiarity with AI/ML concepts applied to testing: anomaly detection, intelligent baselining, AIOps, or LLM‑assisted diagnostics.
• Experience testing web applications and APIs (REST, gRPC, WebSocket) under realistic concurrency.
• Strong written and verbal communication skills; ability to present findings and drive discussions with engineering teams.

Responsabilités

• Design, develop, and maintain performance test scripts and scenarios using tools such as k6, Gatling, JMeter, or Python.
• Build and maintain realistic workload models that accurately represent production traffic patterns and user behavior.
• Define and document performance test objectives, entry/exit criteria, and service level objectives (SLOs).
• Execute a range of test types including baseline, load, stress, soak, spike, and scalability tests.
• Analyze test results to identify bottlenecks, regressions, and areas of concern; produce clear written findings and recommendations.
• Collaborate closely with developers, QA engineers, and architects to share results and support remediation efforts.
• Set up and maintain performance test environments and test data in alignment with production configurations.
• Integrate performance tests into CI/CD pipelines to enable continuous performance validation.
• Define and configure monitoring dashboards and alert thresholds using observability platforms (e.g. Datadog, Grafana, Prometheus).
• Triage performance‑related defects and contribute to root cause analysis investigations.
• Maintain performance test documentation, test plans, and results archives.
• Leverage AI‑assisted tooling for automated anomaly detection, intelligent baselining, and accelerated result analysis.
• Use AI/ML‑powered AIOps platforms to identify trends, predict regressions, and reduce mean time to detection (MTTD) for performance issues.

Connaissances

Performance testing

Load testing

CI/CD collaboration

Python

JavaScript/Node.js

Java

Groovy

AI/ML in testing

Outils

k6

Gatling

JMeter

Python

Datadog

Grafana

Prometheus

New Relic

Jenkins

GitLab CI

GitHub Actions

Jaeger

OpenTelemetry

Description du poste

Five9 is seeking a Performance Test Engineer to join the Performance Engineering team. You will design, build and execute performance tests across our cloud contact center platform, creating workload models that reflect production traffic and guiding improvements with clear findings.

You will implement tests using k6, Gatling or JMeter, integrate with CI/CD, and work with observability tools to monitor and report results.