Senior SDET at CyberArk Software in Santa Clara, CA

companyDescription 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. jobDescription We’re looking for a Senior-level Performance Test Engineer / Senior SDET to help us elevate performance testing as a core Quality practice across our cloud-native platform. You’ll act as a Quality and Performance Engineer who builds tooling, frameworks and infrastructure that development teams trust and adopt. Performance is a key focus of this role – but it is one aspect of a broader mission: enabling teams to build scalable, reliable and production-ready systems. Performance requirements are often implicit or under-defined – part of your role to help define what needs to be tested and how it should be measured. This role sits within our Test Enablement group and implies close collaboration with development teams, other SDETs acting as Quality champions and the Production Engineering team. Responsibilities You will have the opportunity to: Implement and evolve performance and reliability tests for cloud-native, microservices-based systems Collaborate with Test Enablement and development teams to apply an existing performance testing direction and build upon it over time Build and maintain performance test components for load generation, ramp-up and steady-state testing, result collection and analysis Execute performance tests in CI/CD pipelines and support their integration into regular development workflows Use observability tools to analyze, visualize, and communicate performance results, including latency distributions, throughput, and error rates Store, track, and compare performance results over time to help identify regressions and trends Assist in emulating realistic customer environments, including networking, certificate-based flows, and multi-service interactions Partner with development teams to help them understand performance test results and improve system behavior under load Participate in code reviews and technical discussions related to test infrastructure and performance #LI-KR1 #LI-Hybrid qualifications Qualifications 3-4 years of experience in test automation, SDET, performance engineering, or backend engineering roles, with a strong testing focus Strong coding skills in Go, Java, or Python (Go preferred) Hands-on experience implementing performance tests for cloud-based applications Practical understanding of: Performance testing types: baseline, load, stress, soak etc. Load patterns (steady, ramp-up, spike, soak) and which scenarios they map to Core performance metrics (p50/p90/p99 latency, throughput, error rates) Setting performance goals Experience working with observability platforms to analyze and visualize performance data, such as: Prometheus, Grafana, Datadog (or similar tools) Experience building upon at least one public cloud platform (GCP preferred, but AWS, Azure etc. also valuable) Familiarity with public cloud service paradigms, including virtual machines, containers, container orchestration and serverless, in any specific vendor flavor Experience integrating tests into CI/CD pipelines (GitLab CI preferred, but GitHub Actions, TeamCity, Jenkins etc. also valuable) Solid understanding of Linux-based systems; working knowledge of Windows environments Networking fundamentals (TCP/IP, DNS, HTTP/S) additionalInformation Nice to Have: Familiarity with performance testing tools such as k6, Locust, JMeter, Gatling, or custom-built load generators Experience working with containerized environments and distributed systems Exposure to cloud infrastructure components (load balancers, auto-scaling, storage services) and how they can impact performance Experience with SaaS platforms or security-sensitive systems GCP experience or interest is a plus PKI and Certificate management Exposure to infrastructure-as-code tools (Terraform, Ansible) Ability to write clean, consistent, and well documented code following best practices Fast learner with strong problem solving and analytical skills Ability to lead and multi-task, problem-solve, make decisions and operate in a fast-paced environment Self-motivated, able to work independently and be reliable and responsive Experience with typical IT infrastructure, such as load balancers, web servers, certificate authorities, identity management systems, etc.