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Spotify
Spotify

Music for everyone.

Backend Engineer- Release

职能后端
级别中级
地点London
方式现场办公
类型全职
发布1周前
立即申请

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. You will join the Release squad within our Client Platform Studio in the Platform mission. This team builds the tools, systems, and workflows that enable Spotify engineers to release software safely, quickly, and with confidence. We focus on reliability, developer productivity, and standardization—powering the invisible machinery behind Spotify’s engineering experience. You’ll work on internal platforms that impact thousands of engineers and directly shape how software gets delivered at scale.

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关于Spotify

Spotify

Spotify

Public

Spotify is a Swedish audio streaming and media service provider founded in April 2006 by Daniel Ek and Martin Lorentzon. As of December 2025, it was one of the largest providers of music streaming services, with over 751 million monthly active users comprising 290 million paying subscribers.

5,001-10,000

员工数

Stockholm

总部位置

$23B

企业估值

评价

10条评价

4.1

10条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

4.5

职业发展

4.0

管理层

2.8

75%

推荐率

优点

Flexible working hours and remote options

Great team culture and supportive colleagues

Creative freedom and innovative projects

缺点

High workload and stress during peak times

Fast-paced environment can be overwhelming

Management disorganization and direction issues

薪资范围

20个数据点

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0份报告

$142,458

年薪总额

基本工资

-

股票

-

奖金

-

$121,089

$163,827

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit