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Cloud Computing, Data Management, Analytics

Senior Software Engineer - Snowflake Feature Store

Bellevue, WAHybridFull TimeStaffPosted 1 month agoVisa sponsorship available

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Required skills

  • Java
  • Python
  • feature engineering
  • ML platforms
  • data serving infrastructure
  • machine learning systems
  • computer science fundamentals
  • B.Sc. in Computer Science

Nice to have

  • agentic enterprise
  • AI-native
  • GenAI
  • agents
  • experimental mindset

Role summary

Snowflake is seeking AI-native thinkers for their ML Feature Store team to build cutting-edge product capabilities for feature transformations and low-latency serving. This role involves defining and owning the roadmap, incorporating new ML advances, ensuring operational excellence, and collaborating with partner teams. The ideal candidate has 8+ years of experience in data serving infrastructure and/or ML platforms, strong computer science fundamentals, and fluency in Java and Python. They should be comfortable with an experimental mindset and thrive in dynamic environments, contributing to the future of how work gets done.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers.

IN THIS ROLE AT SNOWFLAKE, YOU WILL:

  • Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership

  • Build and execute a vision for incorporating new advances in machine learning

  • Ensure operational excellence of services and meet reliability, availability, and performance commitments

  • Collaborate across ML partner teams to improve development velocity and capabilities

  • Support team members in delivering high technical quality

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:

  • 8+ years of experience in designing and building data serving infrastructure and/or machine learning platforms.

  • Strong operational experience managing PostgreSQL in production environments.

  • Strong track record working with machine learning systems and platforms.

  • Strong understanding of computer science fundamentals.

  • B.Sc. in Computer Science

  • Fluency in Java and Python

  • Experience with feature engineering platforms and ML platforms

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Sample Snowflake interview questions

  • 1

    Design a key-value store

    system designmedium
  • 2

    Create a distributed framework for performing A/B testing at scale.

    system designmedium
  • 3

    Design a system for managing a distributed consensus algorithm.

    system designmedium
  • 4

    Design a solution for managing large-scale data migrations in a distributed environment.

    system designmedium
  • 5

    Design a leaderboard system

    system designmedium

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