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.
Senior Software Engineer with 10+ years of experience in full stack application development, specializing in building AI/ML-powered systems and leveraging AI-native development workflows. Proven ability to design scalable applications, integrate LLM capabilities, and enhance engineering productivity using tools like Claude Code and Snowflake Cortex.
CORE RESPONSIBILITIES:Design and develop end-to-end full stack applications (frontend, backend, APIs)
Build and integrate AI/ML and LLM-powered features into production systems
Develop scalable backend services and distributed systems architectures
Leverage Snowflake Cortex and Snowpark for data-driven AI applications
Collaborate with cross-functional teams to deliver customer-facing intelligent solutions
Optimize applications for performance, scalability, and reliability
Strong hands-on experience with AI Model for Code Generation (e.g., Anthropic's Claude, OpenAI's GPT-Codex) or similar for:
Code generation, refactoring, and debugging
Designing structured prompts and reusable workflows
Ability to create and manage skills and profiles in AI Models to streamline development tasks
Experience with AI-assisted development (Claude co-work model) to improve productivity and code quality
Familiarity with prompt engineering, reasoning workflows, and human-in-the-loop systems
Languages: Python, Java, JavaScript/TypeScript
Frontend: React, Angular (or similar frameworks)
Backend: REST APIs, microservices, distributed systems
AI/ML: LLM integration, NLP, model inference
Cloud & Data: Snowflake (Cortex, Snowpark), AWS/Azure/GCP
Tools: Docker, Kubernetes, CI/CD pipelines
Experience with RAG architectures, embeddings, and vector databases
Knowledge of MLOps and model deployment pipelines
Familiarity with large-scale data platforms and ETL workflows
Working knowledge of snowflake and snowflake technologies
Experience with building production AI assistants at the enterprise level
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
Skills Required
- 10+ years of experience in full stack application development
- Strong hands-on experience with AI Model for Code Generation
- Experience with Snowflake technologies
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
-
Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
-
Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
-
Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
Gallery
