Engineering Manager, Performance & Resilience (Auth0)

Okta
Toronto, CA
On-site

Who this role is best for

Best suited to mid-level engineering managers with expertise in performance testing and resilience, working in identity security and managing globally diverse teams.

Best fit for

  • Engineering managers passionate about performance testing and chaos engineering at scale.
    — “passionate about software quality and architecture
  • Leaders experienced in managing globally distributed teams and cross-functional projects.
    — “Manage a global team including setting expectations
  • Technical managers adept at improving load testing frameworks and datasets.
    — “Own the evolution of the team's load testing framework

Things to consider

  • Requires collaboration with multiple teams including security and operations.
    — “Collaborate with architects, tech lead, product owners, security and operations engineers
  • Involves strategic roadmap planning and high-impact cross-team projects.
    — “Contribute to defining the strategic direction and roadmap for the team

How to stand out

  • Highlight specific improvements you've made to load testing frameworks.
    — “Experience designing or significantly improving load testing frameworks
  • Demonstrate your approach to realistic test dataset generation.
    — “Hands-on experience with test dataset generation strategies
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • performance and resiliency improvements
  • load testing framework
  • test dataset generation
Typical background
deep experience with performance testingload testing frameworkschaos engineering

Skills & requirements

Required

Performance TestingLoad TestingChaos EngineeringCloud PlatformsDevOps

Preferred

JavaSpring BootAWSCi/cd Pipelines

Stack & domain

JavaScriptNode.jsTypeScriptChaos EngineeringPerformance TestingLoad TestingMonitoring ToolingLeadershipCommunicationPerformanceResilienceCloud PlatformsDevOps

About the role

Original posting from Okta

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

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.)                                         &

Source: Okta careers

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