Software Engineer

3 days ago


Davangere, Karnataka, India beBeeDataArchitect Full time ₹ 2,00,00,000 - ₹ 2,40,00,000
Job Overview

As a Data Architect, you will design and build scalable data infrastructure to support large language model research.

  • Develop high-throughput systems for data ingestion, processing, and transformation.
  • Collaborate with researchers to deliver critical data assets for model development and evaluation.

This role involves working with complex, multi-modal data and requires expertise in distributed computing frameworks, cloud infrastructure, and performance optimization.

You will be responsible for designing and operating fault-tolerant data infrastructure, developing synthetic datasets, and implementing monitoring and alerting systems to ensure platform reliability and performance.

Key Responsibilities:
  • Design and build scalable data infrastructure to support distributed computing and data orchestration.
  • Develop and maintain high-throughput systems for data ingestion, processing, and transformation.
  • 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.
Benefits

This role is fully remote, and compensation will vary based on background, skills, and experience levels.

We offer a dynamic work environment and opportunities for growth and professional development.



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