Performance & Scalability Lead – Central Quality Team

Company Description

About CyberArk

CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk’s AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With Identity Security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at cyberark.com.

Copyright © 2026 CyberArk Software. All Rights Reserved. All other brand names, product names, or trademarks belong to their respective holders.

Job Description

As a Performance Lead in our Centralized Quality Team, you will be the architect of our performance testing ecosystem. You won’t just run tests; you will build the infrastructure and define the AI-driven methodologies that allow our R&D groups to deliver the world’s most secure Identity Security platform at massive scale. This is a high-impact role where you will bridge the gap between traditional performance engineering and the future of AI-augmented quality.

The Technical Toolkit & AI Integration

In this role, you will lead the adoption and testing of performance stack:

• Hand zone development using falling tools : LoadRunner,Locust and JMeter.
• AI-Driven Testing: hand zone development GenAI (Cursor, Windsurf, and Claude code)
• Observability & AI-Ops: Leveraging tools like Dynatrace, New Relic, or Datadog
• Cloud Native: Operating at scale within AWS and Kubernetes (EKS), utilizing chaos engineering to validate system resiliency.
  
  

• Lead the Vision: Drive the cross-company performance strategy, shifting from reactive testing to proactive Performance Engineering.
• Build the "Performance Hub": Develop centralized, reusable performance testing assets and AI-powered dashboards for use by all product teams.
• Smart Analysis: Use AI to analyze vast amounts of telemetry data, providing actionable insights into architectural weaknesses and cost-optimization opportunities in the cloud.
• Collaborate: Partner with R&D and Product Leads to ensure performance is in our CI/CD pipelines.
• Lead performance aware SDLC process, set KPI's and work with R&D and Product to ensure new features meet performance demands
• Help bring customers requirements into testing cycles of new features and regression suits
  
  

• Proven Leadership: 6+ years in Performance Engineering, with experience leading complex technical projects or teams.
• Deep Technical Roots: Expert knowledge of performance testing tools.
• Coding Proficiency: Strong hands-on experience in Java, Python, or Go.
• AI Curiosity: Experience (or deep interest) in applying AI/LLMs to automate testing workflows or analyze performance metrics.
• Cloud Expertise: Extensive experience with AWS infrastructure and Kubernetes.
• RCA: AI-driven Root Cause Analysis (RCA) to pinpoint bottlenecks in complex microservices architectures.
• Communication: Ability to explain complex performance data to stakeholders and influence R&D roadmaps.
  
  

• Experience with AIOps tools and predictive monitoring.
• Active contribution to the performance engineering or AI community (blogs, open source, meetups).