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Salary: USD 300,000 - 350,000 / annual
StubHub is seeking a Staff Software Engineer to join the Core Platform - Streaming & Storage team. You will own the technical strategy and architecture for StubHub's streaming platform and NoSQL/storage offerings, leading a major initiative to migrate streaming infrastructure from Azure to an AWS-native, Kafka-compatible platform.
The team provides core engineering products used across the company, including message queues, DLQ and retry infrastructure, messaging control planes, and storage platforms such as key-value databases, distributed caches, blob storage, and search/indexing systems. These platforms currently process 10–30 billion events per day for roughly 100 service teams.
Key responsibilities include:
- Own technical strategy and architecture for streaming and NoSQL/storage offerings
- Lead the migration from Azure (EventHub, ServiceBus) to AWS-native Kafka-compatible platform, including vendor selection, benchmarking, broker deployment, schema registry, and SDK development
- Design and operate high-throughput infrastructure processing billions of events daily with appropriate reliability and performance for company-wide impact
- Drive engineering excellence through architecture reviews, observability, operational readiness, and incident response for P0 systems
- Partner with ~100 service teams on adoption, including migration guides, tooling, and developer experience
- Ensure compliance and governance (SOX, GDPR/CCPA) are built into the platform, including PII handling, retention, and data access controls
- Mentor and grow a team of 3–5 engineers, raising technical standards through design review and coaching
- Shape the team's multi-year roadmap in partnership with engineering leadership
Location: Hybrid (3 days in office / 2 days remote) in New York, NY; Santa Monica, CA; or Aliso Viejo, CA.
Requirements:
- 8+ years of software engineering experience, including several years as a technical lead for large-scale distributed systems
- Deep expertise in event streaming and messaging (Kafka or Kafka-compatible brokers such as MSK, Confluent, Redpanda, AutoMQ, WarpStream)
- Proven experience operating production infrastructure at scale: high availability, incident response, performance tuning, and cost management
- Experience with cloud data storage and NoSQL systems (object storage, key-value stores, distributed caches, search/indexing)
- Track record of leading multi-quarter, cross-team platform migrations or programs end-to-end
- Excellent communication skills to align leadership, partner teams, and engineers on technical direction
- Experience mentoring junior engineers
- Bonus: schema registry and compatibility tooling, lakehouse formats (Iceberg), CDC pipelines, .NET/C#, Python, Kubernetes/EKS, Terraform, OpenTelemetry
