As a Performance Lead in our Centralized Quality Team, you will be the architect of our performance testing ecosystem. You will build the infrastructure and define the AI-driven methodologies that allow our R&D groups to deliver the worlds most secure Identity Security platform at massive scale. This is a high-impact role where you will lead the adoption and testing of our performance stack, including tools like LoadRunner, Locust, and JMeter; leveraging GenAI for testing; utilizing observability tools like Dynatrace, New Relic, or Datadog; and operating at scale within AWS and Kubernetes (EKS).
Your Career
Drive the cross-company performance strategy, shifting from reactive testing to proactive Performance Engineering.
Develop centralized, reusable performance testing assets and AI-powered dashboards for use by all product teams.
Use AI to analyze vast amounts of telemetry data, providing actionable insights into architectural weaknesses and cost-optimization opportunities.
Partner with R&D and Product Leads to ensure performance is integrated into our CI/CD pipelines.
Lead a performance-aware SDLC process, set KPIs, and work with R&D and Product to ensure new features meet performance demands.
Incorporate customer requirements into testing cycles for new features and regression suites.
Your Career
Drive the cross-company performance strategy, shifting from reactive testing to proactive Performance Engineering.
Develop centralized, reusable performance testing assets and AI-powered dashboards for use by all product teams.
Use AI to analyze vast amounts of telemetry data, providing actionable insights into architectural weaknesses and cost-optimization opportunities.
Partner with R&D and Product Leads to ensure performance is integrated into our CI/CD pipelines.
Lead a performance-aware SDLC process, set KPIs, and work with R&D and Product to ensure new features meet performance demands.
Incorporate customer requirements into testing cycles for new features and regression suites.
Requirements:
Your Experience
Bachelor's degree with 12 years of experience, or Master's degree with 8 years of experience, or PhD with 5 years of experience in Performance Engineering.
Proven leadership with experience leading complex technical projects or teams.
Expert knowledge of performance testing tools (e.g., LoadRunner, Locust, JMeter).
Strong hands-on coding proficiency in Java, Python, or Go.
Experience or deep interest in applying AI/LLMs to automate testing workflows or analyze performance metrics.
Extensive experience with AWS infrastructure and Kubernetes.
Experience with AI-driven Root Cause Analysis (RCA) to pinpoint bottlenecks in complex microservices architectures.
Ability to explain complex performance data to stakeholders and influence R&D roadmaps.
Preferred Qualifications
Experience with AIOps tools and predictive monitoring.
Active contribution to the performance engineering or AI community (blogs, open source, meetups).
Your Experience
Bachelor's degree with 12 years of experience, or Master's degree with 8 years of experience, or PhD with 5 years of experience in Performance Engineering.
Proven leadership with experience leading complex technical projects or teams.
Expert knowledge of performance testing tools (e.g., LoadRunner, Locust, JMeter).
Strong hands-on coding proficiency in Java, Python, or Go.
Experience or deep interest in applying AI/LLMs to automate testing workflows or analyze performance metrics.
Extensive experience with AWS infrastructure and Kubernetes.
Experience with AI-driven Root Cause Analysis (RCA) to pinpoint bottlenecks in complex microservices architectures.
Ability to explain complex performance data to stakeholders and influence R&D roadmaps.
Preferred Qualifications
Experience with AIOps tools and predictive monitoring.
Active contribution to the performance engineering or AI community (blogs, open source, meetups).
This position is open to all candidates.
