Staff Software Engineer - Performance & Reliability (Cloud Platform) - hybrid
Role details
Job location
Tech stack
Job description
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.
What You'll Do
- 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, * Define and scale performance engineering across a high-impact cloud platform
- Work on distributed systems operating at enterprise scale
- Influence architecture and engineering practices across multiple teams
- Partner with experienced engineers solving complex system challenges
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)
- workload modeling and traffic patterns
- 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 Have
- 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)
What Sets You Apart
- Ability to operate across teams and influence engineering direction
- Strong system-level thinking across application, infrastructure, and data layers
- Proven ability to drive adoption of technical practices at scale
- Ability to translate performance insights into engineering decisions and product impact
- Clear communication of complex system behavior to both technical and non-technical stakeholders
Benefits & conditions
The salary range for this position is $181,000 - $225,000/year, plus bonus, which will be based on the employee's performance and equity. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits. Other 34 minutes ago LC/MS Applications Scientist Agilent Technologies Santa Clara, California $128,928.00 - $201,450.00 per year Information Technology about 4 hours ago ETL Sr.Developer American Cybersystems, Inc. Santa Clara, California $82,500.00 - $97,000.00 per year, $70.00 per hour
