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Backend Engineer - Core Infrastructure

Spotify

Backend Engineer - Core Infrastructure

Spotify

London

·

On-site

·

Full-time

·

3d ago

ATC is the squad behind Spotify’s perimeter systems — the critical edge layer that connects millions of users to Spotify every second. Sitting within the Infrastructure product area, this team focuses on building a robust, scalable, and transparent networking layer that just works for engineers across Spotify.

From handling massive traffic at the edge to protecting Spotify from external threats, the team plays a key role in keeping the platform reliable and secure. You’ll work closely with engineers across Spotify to design systems that scale effortlessly while continuously improving how we manage and protect traffic at a global level.

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About 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

Employees

Stockholm

Headquarters

$23B

Valuation

Reviews

4.1

10 reviews

Work-life balance

3.8

Compensation

4.2

Culture

4.3

Career

3.9

Management

2.8

78%

Recommend to a friend

Pros

Flexible working hours and remote options

Great team culture and collaborative environment

Innovative projects and creative freedom

Cons

High workload and performance pressure

Fast-paced environment can be overwhelming

Management issues and disorganization

Salary Ranges

17 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0 reports

$142,458

total per year

Base

-

Stock

-

Bonus

-

$121,089

$163,827

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit