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# Senior Software Engineer, CXE - Frontier Engineering

- **Company:** Snowflake Inc.
- **Location:** Menlo Park, CA, United States
- **Experience:** Expert
- **Salary:** $200,000 - $287,500
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Unit Testing, Cloud Computing, Code Review, Software Debugging, Python (Programming Language), Scala (Programming Language), Software Construction, Software Engineering, Diagnostic Tools, Large Language Models, Snowflake, Agentic-AI, Kubernetes, Low Latency, Api Design, Golang
- **Published:** November 13, 2026
- **Apply:** https://www.adzuna.com/details/5858267084

## About the Role

* B.S. or M.S degree in CS, MIS, or equivalent discipline
 * 6+ years experience hands-on software engineering experience
 * Deep understanding of modern application design architecture, good API design patterns, performance, and scale.
 * Expertise in at least one of the following (bonus for more than one): Python, Java, Scala, GoLang.
 * Experience with software engineering best practices: unit testing, code reviews, and design documentation.
 * Excellent debugging and troubleshooting skills, especially in a cloud environment.
 * Demonstrated technical leadership experience, such as being an architect or tech lead for high-impact projects.
 * Great communication skills, both verbal and written and an interest in working with a diverse set of peers and external developers.
 * Genuine enjoyment of the art of building great software, and a love of learning new things.

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.

## Description

* Lead and drive projects that span our stack, including Java and Python services hosted in Kubernetes and Snowpark Container Services.
 * Design, build and ship LLM-powered features and AI agents that reason over diagnostic data and technical content, with attention to quality, latency, cost and safety.
 * Create evaluation frameworks and observability for AI systems, so we can measure and improve their quality in production.
 * Use AI-assisted development tools in your daily work and help raise the team's practices for building with them.
 * Promote strong collaboration within a cross-functional team, including product management and design.
 * Deliver features requiring close coordination with several partner teams.
 * Be a strong contributor to the product vision and drive team planning.
 * Find problems, instrument the relevant components and implement lasting solutions
 * Mentor and coach junior team members.