About the company
Okta is the World's Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable companies to protect the identities of their applicants, employees, and customers, while providing seamless access from any device, anywhere.
Responsibilities
- Define and execute the long-term technology roadmap for Integration testing, performance engineering, stress testing, scalability modeling, and reliability validation across Okta's Workforce Identity Cloud and Customer Identity Cloud (Auth0)
- Oversee the development and maintenance of enterprise-scale load, stress, endurance, and chaos testing frameworks capable of simulating millions of peak concurrent authentications and API requests
- Serve as a trusted advisor to senior engineering leaders and principal architects, evaluating system designs, microservices, database topologies, and cloud infrastructure for performance bottlenecks and failure modes
- Shift performance and reliability testing left into the CI/CD pipeline, establishing performance budgets, regression alerts, and automated baseline validation for every release
- Use AI to improve test coverage, simulate real-world use cases and elevate the quality of Testing process and tools within Okta
- Drive predictive capacity planning models that align infrastructure provisioning and cloud spend with customer growth, traffic spikes, and high-volume identity events
- Partner with SRE and Incident Management to analyze critical system outages and performance degradations, driving root-cause analysis (RCA) and translating lessons learned into automated performance test suites
- Lead, grow, and empower a world-class organization of performance engineers, tool developers, and engineering managers
Requirements
- 15+ years of progressive experience in Software Engineering, Quality Engineering, or Infrastructure, with 8+ years in direct engineering management/leadership roles
- Track record leading high-performing performance engineering, scalability, or SRE organizations at a multi-tenant, hyper-scale SaaS or Cloud infrastructure company
- Deep technical expertise in cloud architectures (AWS, GCP), distributed systems, microservices, containerization (Kubernetes, Docker), and databases (SQL, NoSQL, Caching architectures)
- Hands-on proficiency with performance testing tools and frameworks (e.g., JMeter, Locust, k6, Gatling, Distributed Load Generation) and APM/Observability stacks (e.g., Datadog, Prometheus, Grafana, Splunk, New Relic)
- Strong domain understanding of API performance, rate limiting, token validation, network protocols (HTTP/2, gRPC, TLS), and identity protocols (SAML, OAuth2, OIDC)
- Proven track record of managing multi-million dollar cloud infrastructure efficiency initiatives and capacity planning models
- Exceptional communication, negotiation, and cross-functional executive alignment skills