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AI Performance Test Engineer

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DevRev

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Location:
Philippines , Cebu

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We’re looking for a Performance Test Engineer who thrives at the intersection of engineering precision and AI-driven innovation. In this role, you’ll design, execute, and evolve our performance testing ecosystem — blending the rigor of traditional testing with the intelligence of automation and agent orchestration. You’ll work closely with engineering, DevOps, platform, and AI teams to simulate real-world conditions, identify bottlenecks, and ensure our systems are highly scalable, resilient, and efficient — delivering seamless experiences to millions of users globally.

Job Responsibility:

  • 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

Nice to have:

  • Experience with AI-assisted testing, anomaly detection, or AIOps
  • Familiarity with chaos engineering tools (Gremlin, LitmusChaos)
  • Exposure to AWS, Azure, or GCP environments
  • Database performance tuning and caching strategies
  • Contributions to open-source testing or AI performance frameworks

Additional Information:

Job Posted:
March 01, 2026

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