Remote Otter LogoRemoteOtter

Data Technical Architect, MongoDB Sharding - Remote

Posted 8 weeks ago
Software Development
Full Time
Worldwide

Overview

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

In Short

  • Collaborate with engineering and product teams to design and evolve the architecture for MongoDB.
  • Make changes to the data access layer and queries to support architectural evolution.
  • Develop best practices for data modeling and schema design.
  • Troubleshoot and optimize database performance issues.
  • Develop scripts and documentation to empower developers.
  • 4+ years of experience in data engineering or architecture.
  • Hands-on experience with MongoDB sharding.
  • Strong proficiency in modern programming languages, preferably Typescript/Node.js.
  • Excellent communication skills for technical discussions.
  • Experience with Infrastructure as Code tools is a plus.

Requirements

  • 4+ years of experience in data engineering or architecture, focusing on MongoDB.
  • Experience designing and implementing MongoDB sharding.
  • Proficient in at least one modern programming language (Typescript/Node.js preferred).
  • Collaborative mindset with cross-functional teams.
  • Understanding of MongoDB internals and performance optimization.
  • Excellent communication skills for technical discussions.

Benefits

  • Flexible working hours and remote options.
  • Health, dental, and vision benefits for employees and dependents.
  • Parental leave and flexible paid time off.
  • Reimbursement for relevant conferences and training.
  • Opportunity to work with smart people in the industry.
  • Company equity as part of the compensation package.
Hugging Face logo

Hugging Face

Hugging Face is a leading company in the field of artificial intelligence and natural language processing, known for its commitment to open-source technology and community-driven development. The company provides a platform that enables developers and researchers to build, share, and deploy machine learning models, particularly in the realm of conversational AI. Hugging Face is recognized for its innovative tools and libraries, such as Transformers, which facilitate the use of state-of-the-art models in various applications. With a focus on collaboration and accessibility, Hugging Face aims to democratize AI and empower users to harness the power of machine learning.

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