Senior Fullstack Engineer, AI-Driven Data Cloud

Snowflake; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Snowflake is seeking a Senior Software Engineer (Fullstack) in Customer Experience Engineering to build intelligent data applications that surface insights from diagnostic data and content relevant to customer issues.

You will tackle data manipulation, UI/UX design, performance optimization, and AI-assisted application design at scale, delivering interfaces that bridge enterprise and consumer experiences with a collaborative team of experts.

Qualifications

• 4+ years of full-stack software engineering experience building modern application architectures, high-performance APIs, and scalable SaaS systems.
• B.E. or M.E. in Computer Science or equivalent.
• Deep expertise in React or TypeScript with strong proficiency in a second stack area.
• Experience designing or contributing to AI-powered features and data-driven experiences.
• Proven fluency with AI-assisted development tools and a framework for tool selection and risk mitigation.
• Track record of influencing engineering practices and improving code review standards.

Responsibilities

• Implement projects across the stack, including React, TypeScript, Nginx, Node.js, Java, and SQL.
• Collaborate with product management and design to define product vision and planning.
• Deliver features requiring close coordination with multiple partner teams and end-to-end solutions.
• Design, build, and contribute to AI-powered features and diagnostic tools.
• Apply a personal framework for using AI tools in daily workflows and ensure quality ownership.
• Take full ownership of code quality, debugging AI-assisted tool errors before production.
• Elevate engineering practices by establishing norms, guides, and review policies.

Skills

React

TypeScript

SQL

Java

APIs

Education

B.E./M.E. in Computer Science

Tools

Nginx

Node.js

Job description

Snowflake is seeking a Senior Software Engineer (Fullstack) in Customer Experience Engineering to build intelligent data applications that surface insights from diagnostic data and content relevant to customer issues.

You will tackle data manipulation, UI/UX design, performance optimization, and AI-assisted application design at scale, delivering interfaces that bridge enterprise and consumer experiences with a collaborative team of experts.