About the Role
Design, build, and maintain scalable backend services and event-driven architectures that support millions of users and real-time event processing.
Responsibilities
- Lead the design and implementation of high-throughput event processing systems
- Collaborate with product and engineering teams to define event platform requirements
- Optimize data pipelines for low latency and high availability
- Mentor engineers in best practices for distributed systems and event architecture
- Troubleshoot and resolve production issues in complex, large-scale environments
- Implement monitoring and alerting for critical event workflows
- Ensure system reliability during peak traffic events
- Drive adoption of event-driven patterns across engineering teams
- Participate in code reviews and architectural design discussions
- Improve system observability and debugging capabilities
- Work closely with data teams to enable real-time analytics
- Evaluate and integrate new technologies for event processing
- Support incident response and post-mortem analysis
- Contribute to disaster recovery and failover strategies
- Maintain documentation for event platform components
Nice to Have
- Master’s degree in Computer Science or related field
- Experience in e-commerce or ticketing platforms
- Background in real-time data processing at scale
- Contributions to open-source eventing projects
- Leadership experience in technical mentorship
Benefits
- Comprehensive health insurance coverage
- Dental and vision plans
- 401(k) with company matching
- Paid time off and holidays
- Flexible work scheduling
- Remote work support
- Professional development stipend
- Wellness programs
- Employee assistance program
- Inclusive parental leave policy
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexible remote options
Team
Part of the Events platform team focused on real-time data and scalability
About the Team
The Events platform team owns the infrastructure that powers real-time event ingestion, processing, and distribution across services. We enable timely updates for inventory, pricing, and user activity.
Technology Stack
- Primary languages: Java, Scala
- Message brokers: Apache Kafka
- Cloud: AWS
- Orchestration: Kubernetes
- Databases: PostgreSQL, DynamoDB
- Monitoring: Datadog, Prometheus, Grafana
Available for qualified candidates
