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Snowflake
Snowflake

The Data Cloud.

Software Engineer - Frontend

직무프론트엔드
경력미들급
위치US-CA-Menlo Park, United States
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

TypeScript

React

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.

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Data Cloud allows sharing live data in governed and secure ways so our customers can solve their business problems.

Come join our world-class team as a Frontend Software Engineer to build customer-facing services for the AI Data Cloud. We are looking for a Software Engineer who is passionate about creating exceptional user experiences and driving customer value.

AS A FRONTEND SOFTWARE ENGINEER, YOU WILL:

  • Design, develop, and deliver highly interactive and responsive user interfaces that have a direct impact on our customers and partners.

  • Work closely with Designers and Product Managers to translate complex requirements into intuitive workflows.

  • Architect and build robust, reusable frontend components and state management systems using TypeScript and React.

  • Optimize web performance to ensure a seamless experience, focusing on core web vitals and efficient data rendering.

  • Write clean, well-tested, and maintainable code, while contributing to our shared design system and internal frontend standards.

OUR IDEAL CANDIDATE WILL HAVE:

  • 2–5 years' of industry experience specializing in frontend development for scalable web applications.

  • Strong foundation on the modern frontend stack, including fluency React and Typescript.

  • Strong fundamental computer science skills. Knowledge of algorithms and data structures.

  • A strong understanding of core computer science concepts and web application architecture, including security, performance, and scalability.

  • A genuine passion for building customer-facing products and a drive to solve problems that create real value for users.

  • Experience collaborating with backend teams to define API contracts that power dynamic frontend experiences.

  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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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Snowflake 소개

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

직원 수

Zürich

본사 위치

$70B

기업 가치

리뷰

10개 리뷰

3.9

10개 리뷰

워라밸

2.8

보상

3.5

문화

4.2

커리어

3.2

경영진

3.1

72%

지인 추천률

장점

Innovative/cutting-edge technology

Supportive team and colleagues

Great learning opportunities and training programs

단점

Fast-paced/overwhelming environment

Heavy workload and long hours

High pressure to perform

연봉 정보

2,067개 데이터

Junior/L3

Junior/L3 · MECHANICAL ENGINEER

1개 리포트

$59,206

총 연봉

기본급

$45,620

주식

-

보너스

-

$59,206

$59,206

면접 후기

후기 6개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Online Assessment

3

Technical Phone Screen

4

Technical Interview

5

Final Interview Round

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR