DevRev

Performance Test Engineer

DevRev

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇭 Philippines

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Job Level

Mid-LevelSenior

Tech Stack

AzureDistributed SystemsDockerGoGrafanaJavaScriptJenkinsJMeterKubernetesMicroservicesNode.jsPrometheusPythonSDLCTypeScript

About the role

  • Design and execute comprehensive performance test strategies — Load, Stress, Soak, Spike, Scalability, and Endurance testing.
  • Develop and maintain performance scripts using tools such as JMeter, Gatling, LoadRunner, Locust, or k6.
  • Simulate realistic user traffic and workload models for distributed systems.
  • Perform root cause analysis across application, API, database, and infrastructure layers.
  • Define and maintain performance baselines, SLAs, and SLOs.
  • Integrate performance tests into CI/CD pipelines for continuous validation.
  • Build AI-driven performance analysis frameworks using pattern recognition and anomaly detection.
  • Develop custom test agents/orchestrators using MCPs to simulate large-scale, multi-node workloads.
  • Implement self-healing test systems that adapt dynamically to environment changes.
  • Use ML models to predict performance degradation and proactively optimize systems.
  • Automate root cause detection with AI-assisted observability insights.
  • Use observability tools (Grafana, Prometheus, Datadog, New Relic, AppDynamics) to monitor and analyze performance metrics.
  • Create visual dashboards to communicate trends and optimization opportunities.
  • Collaborate with SRE and development teams for end-to-end performance tuning.
  • Partner with engineering, QA, and platform teams early in the SDLC to define performance goals.
  • Conduct post-release reviews and contribute to testing standards and best practices.

Requirements

  • 5+ years of experience in performance testing for large-scale distributed systems
  • Strong programming skills in Python, Go, or JavaScript/TypeScript
  • Hands-on with modern testing tools (JMeter, Gatling, Locust, k6, LoadRunner)
  • Expertise in performance metrics — latency, throughput, error rate, concurrency, resource utilization
  • Experience integrating with CI/CD (Jenkins, GitHub Actions, Azure DevOps)
  • Deep understanding of microservices, containers (Docker, Kubernetes), and distributed architectures
  • Skilled in analyzing logs, metrics, and traces for performance bottlenecks.
Benefits
  • Culture of hunger, humility, honesty, and heart
  • Opportunity to work on AI-driven innovation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
performance testingload testingstress testingsoak testingspike testingscalability testingendurance testingprogramming in Pythonprogramming in Goprogramming in JavaScript
Soft skills
collaborationcommunicationroot cause analysisproblem-solvingadaptability