About the position
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is committed to providing a secure and seamless experiences for our customers. The Customer Identity Engineering team here at StubHub plays a critical role in ensuring the safety of our users by maintaining and enhancing our authentication and authorization services through the use of security best-practices and first-class software engineering. This role will be based in either our New York, NY or Los Angeles, CA or Aliso Viejo, CA office and has a hybrid (3 in-person days per week) work schedule.
Responsibilities
- Design, build, and maintain scalable authentication and authorization services.
- Implement security features to protect against common vulnerabilities (e.g. OWASP top 10).
- Collaborate with data science teams to integrate machine learning models aimed at identifying and preventing suspicious login activity.
- Monitor and improve the performance of identity-related services.
- Investigate and troubleshoot issues related to account security, user identity, and authentication failures.
- Drive improvements in security protocols, performance optimization, and user experience.
- Keep up to date with the latest security and identity management trends and apply that knowledge to your work.
Requirements
- 5+ years of experience in software engineering, ideally with a focus on authentication, authorization, and identity services.
- Proficiency in backend development using languages such as Java, C#, or Python.
- Experience working with security protocols such as OAuth, SAML, OpenID Connect, and WebAuthN.
- Familiarity with building and maintaining scalable, distributed systems.
- Experience working with databases, both relational (e.g., MSSQL, MySQL, PostgreSQL) and NoSQL (e.g., DynamoDB, Cassandra).
- Understanding foundational concepts of machine learning (Supervised / Unsupervised) and the ability to collaborate with data scientists on implementations.
- Worldclass problem-solving skills and the ability to think critically about security, reliability, and performance.
Nice-to-haves
- Working Knowledge of cloud platforms (AWS, GCP, Azure), hands-on experience building and owning a cloud optimized service.
- Expert experience with containerization and hosting technologies (e.g., Docker, Kubernetes).
- Familiarity with monitoring and alerting tools such as Prometheus / Grafana.
- Previous experience leveraging Machine Learning to augment authentication services to identify fraudulent/ anonymous logins.
Benefits
- Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
- Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.
- Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.
- Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
- Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated.
