Senior / Staff Software Engineer - Snowflake Feature Store

The available sources do not contain information about the company name for rounx.com.; United States; On-site; USD 150,000 - 240,000; Full time

Job summary

The Senior or Staff Software Engineer will lead the development of Snowflake Feature Store, a core part of Snowflake’s ML suite. You will define the product roadmap in collaboration with senior architects and ML leaders, driving innovation in ML platforms and ensuring reliable, high-performance systems.

Ideal candidates have 8+ years building data serving infrastructure or ML platforms, with strong ML systems expertise, CS fundamentals, and proficiency in Java and Python.

Qualifications

• 8+ years of experience building data serving infrastructure or ML platforms.
• Strong knowledge of machine learning systems and CS fundamentals.
• Proficient in Java and Python.
• Experience with feature engineering platforms and ML tools.

Responsibilities

• Lead the development of Snowflake Feature Store and related ML infrastructure.
• Define the product roadmap in collaboration with senior architects and ML leaders.
• Drive innovation in ML platforms and ensure high‑performance, reliable systems.
• Improve development velocity and technical quality across teams.
• Deliver impactful feature solutions for customers.

Skills

Machine learning systems

Data serving infrastructure

System design

CS fundamentals

Cross-functional collaboration

Tools

Java

Python

Feature engineering platforms

ML tools

Job description

We are seeking a Senior or Staff Software Engineer to lead the development of Snowflake Feature Store, a key component of Snowflake’s ML suite. The role involves defining the product roadmap in collaboration with senior architects and ML leaders, driving innovation in machine learning, and ensuring operational excellence through reliable, high-performance systems. You will work cross-functionally to enhance development velocity and technical quality while delivering impactful feature solutions for customers.

Ideal candidates have 8+ years of experience building data serving infrastructure or ML platforms, with strong expertise in machine learning systems, computer science fundamentals, and proficiency in Java and Python. Experience with feature engineering platforms and ML tools is required. The position requires a proactive, collaborative mindset and a passion for redefining how enterprises leverage AI and machine learning.