Building Scalable Data Infrastructure Specialist

2 days ago

Ajmer, Rajasthan, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Key role: Developing Large Scale Data Infrastructure

We're seeking a skilled Software Engineer with expertise in large-scale data processing for LLM development. This position is critical to successful model training and evaluation.

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

This high-impact role involves designing, building, and operating scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for LLM Research.

Responsibilities:

  • Design 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.
  • Proactive about documentation, automation, testing, and empowering your teammates with good tooling.

This role is fully remote, India-based. Compensation and benefits will vary based on background, skills, and experience levels.

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