Join a team focused on shaping how users discover content in a fast-growing livestream shopping environment. In this role, you'll design and maintain high-performance backend systems that power personalized feed experiences, ensuring low latency and strong scalability. Your work will directly influence how new sellers and smaller product categories gain visibility and grow.
What You'll Do
- Develop and deploy features that enhance content discovery for users
- Design and operate reliable, high-throughput feed services
- Build infrastructure to support exploration mechanisms that elevate underrepresented sellers and categories
- Lead technical initiatives and guide the work of other engineers
- Collaborate with machine learning, platform, and product teams to integrate data-driven solutions
- Design scalable systems across feed, search, ML serving, and application layers
- Shape the long-term technical direction for recommendation and discovery platforms
What We're Looking For
- At least five years of professional software engineering experience
- A degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience
- Proven ability to solve complex problems at consumer scale
- Strong background in discovery domains such as recommendations, search, or content understanding
- Experience building robust, maintainable backend systems
- Skill in monitoring and observability using tools like DataDog or Grafana
- Familiarity with AWS services including Sagemaker, Lambda, Kinesis, S3, EC2, EKS, ECS, Kafka, Flink, and Spark
Work Environment
This role supports remote work with a requirement to live near one of our hubs in New York City, San Francisco, Seattle, or Los Angeles. The team values in-person collaboration for planning and problem-solving, while maintaining flexibility for remote work. We prioritize outcomes, encourage curiosity, and move quickly with purpose.
