Building Scalable Data Infrastructure

16 hours ago

Rajahmundry, Andhra Pradesh, India beBeeDataEngineer Full time US$ 1,50,000 - US$ 2,25,000
Job Description

We are seeking a skilled Data Engineer to join our compact team responsible for developing and operating scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for Large Language Model (LLM) research.

You will work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.

Key Responsibilities:
  • Design, build, and operate high-throughput systems for data ingestion, processing, and transformation to support LLM model development
  • Develop synthetic datasets using state-of-the-art solutions
  • Collaborate with research teams to deliver critical data assets for model development and evaluation
  • Implement and maintain monitoring and alerting to support platform reliability and performance
  • Build systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards
Requirements
  • 5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms
  • Fluent in distributed computing frameworks
  • Deeply familiar with cloud infrastructure, data storage architectures, and batch + streaming pipelines
  • Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster
  • Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale
  • Familiar with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing
  • Extensive experience with performance optimization and memory management in high-volume data systems
Working Conditions

This role is fully remote, India-based. We offer competitive compensation and benefits based on background, skills, and experience levels.

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