Design and maintain high-throughput detection systems and backend services, lead the development of robust data pipelines, and partner with Engineering Managers to define technical roadmaps.
Requirements
- 8+ years of professional experience
- Expert-level proficiency in building and optimizing distributed data pipelines using Spark and Airflow
- Extensive experience managing and scaling cloud-native applications on AWS
- Experience leading technical projects, mentoring engineers, and contributing to the long-term technical strategy of a team
- Strong ability to design complex integrations and handle significant throughput/latency challenges
- A methodical approach to performance debugging, benchmarking, and resolving bottlenecks in large-scale systems
- Strong experience with Postgres or similar relational databases at scale
- BS in Computer Science, Applied Sciences, or a related engineering field