Senior Software Engineer, Catalog Platform (Back-End)

StubHub•New York, NY

2d•Hybrid

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. This role will enhance the observability and robustness of software systems with automatic regression detection. It involves optimizing data modeling and storage patterns within the application layer for downstream consumption. The engineer will build systems that extract structured insights from semi-structured and unstructured sources at scale, focusing on performance and accuracy. Integration and fine-tuning of large-scale language models for production applications will be key, enabling automation of complex operational tasks. The position will launch features that have an immediate impact on the velocity of innovation and ultimately the growth of the business. The role requires consistently executing with agility, resulting in high-quality outcomes. Responsibilities include coordinating personal project tasks, meeting deadlines, and consistently demonstrating high technical standards through individual contributions. The engineer will design, develop, test, deploy, and maintain impactful improvements across platforms and products. Telecommuting may be permitted up to 2 days per week. When not telecommuting, must report to StubHub, Inc. at 3 World Trade Center – 175 Greenwich Street, 59th Floor, New York, New York 10007.

Requirements

Master’s degree or U.S. equivalent in Computer Science, Computer Applications, Information Technology, Computer Engineering, or a related field, plus 3 years of professional experience as a Software Engineer, Software Developer, or other occupation/position/job title performing back-end software engineering and development.
OR Bachelor's degree or U.S. equivalent in Computer Science, Computer Applications, Information Technology, Computer Engineering, or a related field, plus 5 years of professional experience as a Software Engineer, Software Developer, or other occupation/position/job title performing back-end software engineering and development.
3 years of professional experience working on back-end system infrastructure using programming languages (including Python, C#, and SQL).
3 years of professional experience building and maintaining complex distributed systems that operate at a significant scale (millions of users, over 40 thousand requests per second).
3 years of professional experience working within the Azure cloud ecosystem including Azure Service Bus, Azure DevOps, Azure Data Explorer, Azure storage, and Azure Key Vault.
3 years of professional experience modeling and storing data in SQL and exposing it through microservices.
3 years of professional experience utilizing GitHub, .NET, JIRA, and Python.
3 years of professional experience deploying, integrating, and optimizing large-scale generative AI models (including foundation models from multiple providers) into production back-end systems.
3 years of professional experience designing distributed data ingestion and enrichment pipelines with fault tolerance and automated anomaly detection for high-volume, real-time environments using AWS services (including EC2, CloudWatch, S3, and Step Functions) for scalable automation and observability.

Responsibilities

Enhance observability and robustness of the software systems with automatic regression detection.
Optimize data modelling and storage patterns within application layer for downstream consumption.
Build systems that extract structured insights from semi-structured and unstructured sources at scale, with a focus on performance and accuracy.
Integrate and fine-tune large-scale language models for production applications, enabling automation of complex operational tasks.
Launch features that have immediate impact on the velocity of innovation and ultimately growth of the business.
Demonstrate consistently executing with agility resulting in high-quality outcomes.
Coordinate personal project tasks, meet deadlines, and consistently demonstrate high technical standards through individual contributions.
Design, develop, test, deploy, and maintain impactful improvements across platforms and products.