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About the Role

Okta is seeking a Senior Director of Performance, Scalability, and Reliability Engineering to lead the global strategy, architecture, and execution of end-to-end performance testing, capacity planning, and system reliability across all Okta product lines. This high-impact executive role will lead a team dedicated to ensuring the Okta Identity Cloud operates at peak efficiency, extreme throughput, and five-nines (99.999%) availability, while also scaling Okta's agentic AI products.

Responsibilities

Define and execute the long-term technology roadmap for Integration testing, performance engineering, stress testing, scalability modeling, and reliability validation.
Oversee the development and maintenance of enterprise-scale load, stress, endurance, and chaos testing frameworks.
Serve as a trusted advisor to senior engineering leaders and principal architects, evaluating system designs 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.
Drive predictive capacity planning models that align infrastructure provisioning and cloud spend with customer growth and traffic spikes.
Partner with SRE and Incident Management to analyze critical system outages and performance degradations, driving root-cause analysis.
Lead, grow, and empower a world-class organization of performance engineers, tool developers, and engineering managers.
Conduct Integration testing and Perf testing across Okta Products and Platforms for Auth0 and Okta Workforce Identity suite of Products.
Lead scalability and reliability testing for Okta’s agentic AI products.

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.
Prior experience in the Identity and Access Management (IAM), Cyber Security, or mission-critical enterprise SaaS domain.
Experience integrating Chaos Engineering practices (e.g., Gremlin, Chaos Mesh) into production and staging pipelines.

Skills

Performance testing
Scalability
Reliability Engineering
Capacity Planning
System Reliability
Integration testing
Performance engineering
Stress testing
Scalability modeling
Reliability validation
Load testing
Endurance testing
Chaos testing
CI/CD pipeline
Performance budgets
Regression alerts
Automated baseline validation
Cloud architectures (AWS, GCP)
Distributed systems
Microservices
Containerization (Kubernetes, Docker)
Databases (SQL, NoSQL, Caching architectures)
Performance testing tools and frameworks (JMeter, Locust, k6, Gatling, Distributed Load Generation)
APM/Observability stacks (Datadog, Prometheus, Grafana, Splunk, New Relic)
API performance
Rate limiting
Token validation
Network protocols (HTTP/2, gRPC, TLS)
Identity protocols (SAML, OAuth2, OIDC)
Cloud infrastructure efficiency
AI for test coverage
AI for analysis
Rate limiting Okta APIs
Chaos Engineering

Location

San Francisco, CA
San Jose, CA

Work Type

Full-Time
Hybrid

Experience Level

Senior Director
15+ years of progressive experience in Software Engineering, Quality Engineering, or Infrastructure
8+ years in direct engineering management/leadership roles

Education Level

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.

Salary/Compensations

$312,000—$429,000 USD (San Francisco Bay Area)
$278,000—$383,000 USD (California, Colorado, Illinois, New York, Washington)

Benefits

Equity (where applicable)
Bonus
Health, dental and vision insurance
401(k)
Flexible spending account
Paid leave (including PTO and parental leave)

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.
Thousands of customers, including Adobe, JetBlue, and Farmers Insurance, trust Okta to help them work faster, boost efficiency, and stay secure.
Okta’s top priority is to provide a reliable, scalable, and secure platform.
We are building a world where anyone can safely use any technology, and we need exceptional leaders to help us achieve this vision.
Our global community, spanning over 20 offices worldwide, is united by a drive to innovate.
Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Equal Opportunity

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran.
We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.