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2 days ago
This is a Software Engineer position focused on data infrastructure and large-scale data processing.
You will be working directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.
Responsibilities- Design and Operate Scalable Data Infrastructure: Develop scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for LLM Research.
- High-Throughput Systems: Develop and maintain high-throughput systems for data ingestion, processing, and transformation to support LLM model development.
- Synthetic Datasets: Develop synthetic datasets using state-of-the-art solutions.
- Collaboration: Collaborate with research teams to deliver critical data assets for model development and evaluation.
- Monitoring and Alerting: Implement and maintain monitoring and alerting to support platform reliability and performance.
- Systems for Traceability: Build systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards.
- Data Infrastructure Experience: 5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms.
- Distributed Computing Frameworks: Fluent in distributed computing frameworks.
- Cloud Infrastructure: Deeply familiar with cloud infrastructure, data storage architectures, and batch + streaming pipelines.
- Specialized Hardware: Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster.
- Database Knowledge: Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
- Microservices Architecture: Familiar with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing.
- Performance Optimization: Extensive experience with performance optimization and memory management in high-volume data systems.
- Proactive Documentation: Proactive about documentation, automation, testing, and empowering your teammates with good tooling.
This role is fully remote, India-based. Compensation and benefits vary based on background, skills, and experience levels.
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