Senior Performance Engineer

About Ping Identity:

At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.

We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.

Role Purpose Statement:

We are looking for a Senior Performance Engineer to independently plan and execute performance engineering activities for large-scale identity services running in cloud-native environments.

In this horizontal role, you will work across product engineering, cloud/SRE, and customer-facing teams to assess scalability and reliability, identify and resolve performance risks, investigate bottlenecks, and improve performance readiness across complex end-to-end flows. You will own performance work from planning through execution, analysis, documentation, stakeholder communication, and completion, with minimal supervision.

Main Responsibilities:

• Define and execute performance testing strategies for Identity Management products and services.

• Plan and execute holistic system-level load, scalability, endurance, stress, reliability, regression, baseline, and benchmark tests.

• Define meaningful performance metrics, analyze results, identify trends and trade-offs, and communicate findings clearly to engineering, cloud/SRE, product, and customer-facing stakeholders.