Senior/Staff Site Reliability Engineer, Perplexity AI

$240-300k

+ Equity

AWS

Docker

Kubernetes

Python

Terraform

Senior and Expert level

Berlin

London

New York

San Francisco Bay Area

Conversational AI-powered search tool

Open for applications

Conversational AI-powered search tool

1001+ employees

B2CArtificial IntelligenceDeep TechMachine Learning

Open for applications

$240-300k

+ Equity

AWS

Docker

Kubernetes

Python

Terraform

Senior and Expert level

Berlin

London

New York

San Francisco Bay Area

1001+ employees

B2CArtificial IntelligenceDeep TechMachine Learning

Company mission

To advance the way people discover and share information.

Job

Company

Role

Who you are

The ideal candidate should have experience in designing highly scalable infrastructure, building systems, and performing testing, monitoring, and maintenance
Strong experience with cloud infrastructure built on AWS
Proficient in database management and caching strategies
Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues
Experience working with containers (Docker, Kubernetes) and orchestration tools
Excellent communication and collaboration skills
Experience with Python and Terraform
7+ years of industry experience

What the job involves

Perplexity is seeking a Senior or Staff level Reliability Engineer (SRE) to join our small team in revolutionizing the way people search and interact with the internet
You will be responsible for leading the design, implementation, and scaling of the infrastructure and systems that support our web and mobile products
Our backend stack includes Python, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces
Design and implement highly available, high-performance, and scalable systems
Maintain and optimize key-value and relational databases
Scale and load balance web server backends to meet rapidly changing needs
Participate in on-call rotation. Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues
Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance
Collaborate with product engineering and security engineering teams to develop scalable automations

Our take

As AI continues to drive changes in both business operations and day-to-day lives, Perplexity AI delivers an intelligent search engine powered by conversational AI, to improve search outcomes and "unlock the power of knowledge" for all.

Reaching impressive heights of 22M monthly visits, Perplexity's "ask anything" method of search is clearly a popular one. And what sets it apart from other search engines is in its answers, which are concise and fully cited, responding to the user query rather than simply providing a place in which they can scroll to find it themselves.

The company has raised substantial funding, with contributions from former execs at companies like OpenAI, Meta, and Quora, demonstrating the interest that it has drummed up in the space. Having doubled its annual recurring revenue between 2023 and 24, this investment will allow Perplexity AI to continue building out its product, and accelerate growth into the future.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.7)

Trustpilot (1.8)

Company

Funding (last 2 of 9 rounds)

Sep 2025

$200m

LATE VC

Jul 2025

$100m

LATE VC

Total funding: $1.7bn

Company HQ

Financial District, San Francisco, CA

Leadership

Aravind Srinivas

(Co-Founder, President & CEO)

Former Research Scientist at OpenAI, who has interned in Research at Google and Deep Mind. Obtained a PhD in Computer Science from the University of California, Berkeley.

Denis Yarats

(Co-Founder & CTO)

Prior to co-founding Perplexity in 2022, Denis was an AI Research Scientist at Facebook AI Research, a Staff ML Engineer at Quora, and a Software Development Engineer at Microsoft.

Johnny Ho

(Co-Founder & CSO)

Previously a Quantitative Trader at Tower Research Capital, and Engineer at Quora.

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