Engineering Manager, Performance & Resilience (Auth0)

The Engineering Opportunity

Reporting to the Director of Quality & Performance, this role as Engineering Manager of Performance & Resilience will drive performance and resiliency improvements for the Auth0 product at Okta. Here you'll be working with some of the most advanced technology in the space, helping to streamline and secure billions of access requests a year. In this role, you will work closely with architects, platform team members, and product engineers to build the testing infrastructure that keeps Auth0 performant at scale — including the frameworks, tooling, and realistic datasets that make that testing meaningful.

The ideal candidate is passionate about software quality and architecture, a self-starter, intellectually curious, and brings deep experience with performance testing, load testing frameworks, dataset generation, performance analysis, monitoring tooling, and chaos engineering.

What you’ll be doing 

• Collaborate with architects, tech lead, product owners, security and operations engineers to implement best practices related to performance and resiliency                                                    
• Communicate and organize cross-team projects with high business impact
• Contribute to defining the strategic direction and roadmap for the team     
• Own the evolution of the team's load testing framework — driving improvements in modularity, reusability, scalability, and developer experience so the framework can support the breadth of Auth0's services                 
• Lead the strategy and execution for test dataset generation, ensuring load and performance tests use realistic, representative data that accurately reflects production traffic patterns and user behaviors                     
• Use existing monitoring tools to identify problems and resolve and/or escalate to service teams                                                     
• Develop backend frameworks and tools for the entire engineering organization to use at scale                                                              
• Participate in the incident RCA process to continuously improve how we test
• Provide technical guidance to engineers on the performance team within the quality domain                                                                
• Manage a global team including setting expectations, removing blockers, creating a collaborative working environment, hiring, and providing coaching and career development  

What we are looking for

• Experienced in stakeholder management including alignment, prioritization, communication, and receiving and incorporating feedback     
• Adaptable to changing requirements with the ability to manage a team through a pivot in priorities                                                        
• Prior management experience of a globally diverse team                    
• Experience designing or significantly improving load testing frameworks (e.g. k6, Gatling, Locust, or similar) — including extensibility, test data management, and CI/CD integration                                             
• Hands-on experience with test dataset generation strategies, including synthetic data generation, data masking/anonymization of production data, and building datasets that reflect realistic load distributions                 
• Experience using APM tools, observability tools, or prior experience analyzing distributed systems performance bottlenecks                         
• Experience with software architecture across the entire stack (design and implementation), including:                                                   
• Understanding of microservices                          
• Cloud Infrastructure experience (AWS, Azure, GCP)                         
• Datastores (SQL, NoSQL, Key/Value)                                     
• Containers (Docker, K8s)                                                  
• Solid understanding of the JavaScript ecosystem (NodeJS and/or TypeScript)  
• Experience with Chaos Engineering tooling (e.g. Chaos Toolkit, Gremlin, AWS, FIS, etc.)                                                                    
• Experience with Cloud-based Infrastructure as a Service (especially AWS)  

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