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Search Golang Engineer

Perplexity AI

Search Golang Engineer

Perplexity AI

Belgrade

·

On-site

·

Full-time

·

1w ago

Required Skills

Go

Distributed Systems

Microservices

Linux

Cloud Infrastructure

CI/CD

Join Perplexity AI as a Search Golang Engineer and help architect the next generation of massively scalable, AI-powered search infrastructure. In this role, you’ll leverage Golang to design, implement, and operate backend systems that handle millions of queries with uncompromising reliability and efficiency.

Responsibilities:

  • Build highly scalable, distributed backend services using Golang

  • Design, develop, and maintain search infrastructure that supports exponential traffic growth

  • Engineer cloud-native solutions, optimizing for horizontal scale and rapid failover

  • Implement robust monitoring, autoscaling, and incident recovery strategies

  • Collaborate with product, infra, and devops teams to maximize throughput and resilience

  • Drive improvements in CI/CD, automation, and operational excellence for backend systems

  • Mentor peers and champion scalable design principles across the organization

Requirements:

  • Significant experience developing scalable Golang services for production environments

  • Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS preferred)

  • Proven track record implementing systems that scale to millions of users

  • Strong background in Linux performance tuning, monitoring, and debugging

  • Experience with CI/CD pipelines, containerization, and automation

  • Ability to proactively tackle scaling challenges—anticipating bottlenecks before they arise

  • Passion for building backend solutions that power real-time, reliable search

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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%

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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