Performance Test Engineer

5 days ago

Remote Philippines DevRev Full time
About the Role:

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.

What You'll Do: Core Performance Engineering

  • 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.

Advanced & AI-Driven Performance Testing

  • 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.

Monitoring & 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.

Collaboration & Process

  • 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.

What You'll Bring:

  • 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.

Bonus Points For

  • 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.

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