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Snowflake
Snowflake

The Data Cloud.

Staff Software Engineer — Cortex Code Platform

职能工程
级别Staff+
地点US-CA-Menlo Park
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

Python

TypeScript

Kubernetes

Go

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

About the Role:

The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA https://www.youtube.com/watch?v=YLGL0MU5AXQ.

As a Staff Software Engineer on Cortex Code Platform, you will own the backend infrastructure that makes agent sessions, tools, and integrations reliable and secure at enterprise scale—including AI security, containerized execution, and distributed data systems under real customer load. You’ll partner closely with product, applied AI, and security to ship pragmatic platform improvements with clear operational guardrails.

What you will do in this role:

  • Platform architecture & delivery: Design and build scalable services, APIs, and core primitives for orchestration, session lifecycle, tool execution boundaries, and Snowflake ecosystem integration.

  • AI security & safe execution: Threat-model agent workflows; enforce least-privilege access to customer context, safe secret/credential handling, and controls that reduce injection, tool misuse, and exfiltration risk without blocking velocity.

  • Container infrastructure: Operate secure, cost-aware container execution for agents—images, isolation, limits/scheduling, networking, and production operability (warm pools, cold starts, rollouts).

  • Distributed data systems: Build and evolve data-intensive platform components (durable workflows, queues/streaming where needed, caching, backpressure, consistency tradeoffs) with strong observability and capacity discipline.

  • Leadership & production excellence: Drive cross-team execution through design docs and mentorship; define SLOs, incident patterns, and rollout practices; stay hands-on in code (we use Go, TypeScript, Python, and cloud-native building blocks—mix varies by project).

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s or higher preferred but not a requirement.

  • 8+ years shipping distributed systems / backend platform software in production, with Staff-level scope (architecture ownership, cross-team delivery, mentoring).

  • Production experience with container orchestration (e.g., Kubernetes-class patterns) and distributed data systems (queues/streaming, partitioning, replication, failure modes).

  • Strong security fundamentals for cloud services (threat modeling, least privilege, secrets management) plus practical judgment for AI/agent risks.

  • Proficiency in Go and/or comparable backend languages; ability to contribute in TypeScript and/or Python as needed.

  • Strong communication skills and ability to collaborate effectively in a team environment.

Nice to have

  • Multi-tenant SaaS, workflow orchestration, or high-throughput async systems at scale.

  • Sandboxed execution, LLM serving/streaming patterns, or deep Snowflake platform integration experience.

You may be a particularly good fit if you

  • Have built and owned complex platforms—many moving parts, meaningful state, and demanding operational requirements.

  • Thrive in high-intensity environments with short feedback loops and high standards for rigor.

  • Take problems to completion: you care about production reliability, clear metrics, and sustainable engineering velocity.

  • Act as a force multiplier through architecture, tooling, and mentorship—especially where security, containers, and data systems intersect.

About Snowflake

Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code https://www.snowflake.com/en/product/features/cortex-code/, Cortex agents https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents, Cortex analyst https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-analyst, Cortex search https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-search/cortex-search-overview.

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 http://careers.snowflake.com

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关于Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

员工数

Zürich

总部位置

$70B

企业估值

评价

10条评价

3.9

10条评价

工作生活平衡

2.8

薪酬

3.5

企业文化

4.2

职业发展

3.2

管理层

3.1

72%

推荐率

优点

Innovative/cutting-edge technology

Supportive team and colleagues

Great learning opportunities and training programs

缺点

Fast-paced/overwhelming environment

Heavy workload and long hours

High pressure to perform

薪资范围

2,067个数据点

Senior/L5

Senior/L5 · CONSULTING MANAGER

1份报告

$223,593

年薪总额

基本工资

$171,995

股票

-

奖金

-

$223,593

$223,593

面试评价

6条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Online Assessment

3

Technical Phone Screen

4

Technical Interview

5

Final Interview Round

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR