Labelbox is building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. The company is pioneering data-centric approaches fundamental to AI development, and their work becomes even more essential as AI capabilities expand exponentially. The Backend Engineer, AI Data Platform will lead the design and development of core data infrastructure, powering the seamless flow, storage, and processing of data for their AI platform.
Requirements
- Deep knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).
- Strong experience with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).
- Proficiency in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.
- Previous experience with distributed systems tools (e.g., queues, message brokers like Kafka or RabbitMQ, job orchestration frameworks) for real-time data processing and other use cases.
- Previous experience with search engines (e.g., ElasticSearch).
- Knowledge of backend development using languages like Python, Java, or TypeScript; familiarity with NodeJS and NestJS is a plus.
- Proficient in data structures, algorithms, and system design for large-scale data management.
Responsibilities
- Design and build scalable data infrastructure, integrating high-performance databases (relational, NoSQL, cloud-native) with distributed systems for data processing, storage, and streaming.
- Optimize database systems for performance, reliability, and scalability, ensuring efficient data retrieval, indexing, and querying to support AI workflows.
- Develop and maintain data pipelines using distributed queues, message brokers, and job management mechanisms to enable high-throughput import/export operations.
- Collaborate with team members and stakeholders to align data infrastructure with platform goals and customer needs.
- Participate in Sprint Planning, Standups, and related activities to drive data-focused initiatives forward.
- Mentor and guide less experienced engineers, sharing expertise in data infrastructure and database optimization.
- Support the team’s area of ownership by working with the Support organization to resolve customer-facing data issues.
Other
- 2+ years of work experience in a software or data-focused company, with significant expertise in data infrastructure and backend engineering.
- Demonstrated ability to keep up with trends in data infrastructure and database technologies.
- Excellent communication and collaboration skills.
- Strong sense of ownership and ability to thrive in a fast-paced environment.
- Comfortable with ambiguity, breaking down high-level requirements into actionable data infrastructure tasks methodically.
