Staff Software Engineer – Performance & Reliability (Cloud Platform) - hybrid

CyberArk•Santa Clara, CA

10h•Hybrid

About The Position

CyberArk is building the cloud platform that secures machine identities at scale. We’re looking for a Staff Software Engineer to lead performance and reliability engineering across distributed, microservices-based systems. In this role, you will define how system behavior is measured, tested, and improved under real-world load — building the frameworks, tooling, and standards that enable teams to deliver scalable, production-ready services. You will operate at the intersection of quality, production engineering, and distributed systems, driving performance engineering as a core capability across the platform.

Requirements

8+ years of experience in software engineering, SDET, performance engineering, or backend engineering roles
Strong coding skills in Go, Java, or Python, with experience building frameworks or system-level tooling
Proven experience designing and building performance testing systems, platforms, or frameworks
Deep understanding of performance testing methodologies (load, stress, soak, spike)
Deep understanding of workload modeling and traffic patterns
Deep understanding of latency (p50/p90/p99), throughput, and system behavior under load
Experience working with distributed systems and cloud-native architectures
Strong experience with observability platforms (Prometheus, Grafana, Datadog, etc.)
Experience integrating performance testing into CI/CD pipelines at scale
Solid understanding of Linux systems and networking fundamentals (TCP/IP, DNS, HTTP/S)
Experience driving technical direction or influencing engineering practices across multiple teams

Nice To Haves

Experience building or extending custom load testing frameworks (k6, Locust, Gatling, etc.)
Experience with containerized environments and orchestration (Kubernetes)
Familiarity with cloud infrastructure behavior under load (autoscaling, load balancing, storage systems)
Experience in SaaS or security-sensitive systems
Exposure to PKI, certificate lifecycle management, or identity systems
Experience with Infrastructure as Code (Terraform, Ansible)

Responsibilities

Define and drive performance and reliability engineering strategy across cloud-native, distributed systems
Design and build frameworks, tooling, and infrastructure for performance testing and system analysis at scale
Establish performance baselines, SLIs/SLOs, and measurable standards across services
Partner with engineering teams to embed performance testing into CI/CD workflows and development lifecycles
Analyze system behavior under load and identify bottlenecks across application, infrastructure, and data layers
Use observability data to interpret latency distributions, throughput, and failure patterns, and translate findings into actionable improvements
Build reusable performance tooling and test platforms adopted across multiple teams
Influence system design by advocating for scalability, resilience, and production readiness early in development
Drive adoption of performance and reliability practices across teams, acting as a technical leader and subject matter expert
Mentor engineers and contribute to raising the bar for system-level thinking and engineering quality