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Search Senior Backend/Infrastructure Engineer

Perplexity AI

Search Senior Backend/Infrastructure Engineer

Perplexity AI

Belgrade

·

On-site

·

Full-time

·

1w ago

Required Skills

AWS

Python

Linux

Systems Design

CI/CD

Go

Rust

C/C++

Java

Perplexity is looking for a Senior Infrastructure Engineer to join our small team revolutionizing the way people search and interact with the internet. Your passion and diligence will be critical to ensure a high quality product. This role blends infrastructure expertise with software engineering -- you'll own core systems that power our products and development workflows.

Responsibilities:

  • Build and maintain robust, scalable infrastructure to support high-performance search systems

  • Develop internal tools and automation to streamline developer workflows and operational efficiency

  • Design, deploy, and operate cloud-native systems, primarily on AWS

  • Improve and support CI/CD pipelines, testing infrastructure, and release processes

  • Debug and optimize Linux systems, containers, and backend services

  • Contribute directly to product codebases, working across Python, Go, and other systems languages

Requirements:

  • Strong background in cloud infrastructure (AWS preferred), systems design, and automation

  • Deep understanding of Linux internals, performance tuning, and debugging

  • Experience building or maintaining CI/CD systems and tooling

  • Strong Python skills and fluency in at least one systems language (Go, Rust, C/C++, or Java)

  • Comfort working across both infrastructure and application-level code

  • A proactive learner who thrives in a fast-paced, innovative environment

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About Perplexity AI

Perplexity AI

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses.

51-200

Employees

San Francisco

Headquarters

$1B

Valuation

Reviews

4.0

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

3.5

Management

3.0

70%

Recommend to a Friend

Pros

Helpful tool for research and analysis

Useful for job application preparation

Effective for complex marketing challenges

Cons

Limited feedback provided

No specific criticisms mentioned

Insufficient detail on potential drawbacks

Salary Ranges

28 data points

Junior/L3

Junior/L3 · LLM Teacher

1 reports

$101,920

total / year

Base

$78,400

Stock

-

Bonus

-

$101,920

$101,920

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview Process

1

Application Review

2

HR Screen

3

Take-home Marketing Challenge

4

Hiring Manager Interview

5

Panel Interview

6

Offer

Common Questions

Digital Marketing Strategy

Campaign Performance Analysis

Behavioral/STAR

Technical Marketing Knowledge

Case Study