Member of Technical Staff (Software Engineer, Cloud Infrastructure)

Perplexity AI2 weeks ago

Location

San Francisco

Type

Full Time

Salary

USD 220,000 – 405,000

Level

Senior

Role

Cloud Infrastructure Engineer

Posted

Jun 3, 2026

Full TimeSenior

The role

Summary

Perplexity AI is seeking a highly skilled Cloud Infrastructure Engineer to design and manage critical cloud architecture supporting their AI-powered answer engine. The role focuses on developing robust, secure, and scalable cloud infrastructure that enables multi-tenant and enterprise-grade deployments across diverse cloud environments.

What you'll do

Cloud Infrastructure Strategy: Own the technical roadmap and strategic direction for agent-driven cloud infrastructure management at Perplexity AI.

Cloud Networking Architecture: Design and operate sophisticated cloud networking fabric, including VPC architectures, private connectivity, and strategic peering with hyperscalers and neocloud providers.

Compute Platform Scaling: Architect and scale compute platforms using Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets to efficiently serve online and background AI workloads across multiple regions.

Deployment Topology Management: Build and maintain secure, isolated deployment environments for multi-tenant, single-tenant, and customer-owned cloud infrastructures with robust cross-account networking and policy controls.

Multi-Region Availability Strategy: Implement and evolve comprehensive multi-region strategies focused on availability, failover, data locality, traffic routing, regional capacity planning, and disaster recovery.

Enterprise Security Integration: Collaborate with security teams to deliver enterprise-grade controls including BYOK/KMS integrations, network isolation, and comprehensive auditability for regulated customers.

Operational Automation: Develop sophisticated automation, tooling, and runbooks to streamline day-2 operations, ensuring predictable and repeatable infrastructure management across all product environments.

What we look for

Technical

Cloud Infrastructure ExpertiseAdvanced proficiency in AWS cloud infrastructure design, including VPC configuration, routing, security groups, load balancing, and private connectivity.

Kubernetes ManagementStrong background in Kubernetes/EKS and container orchestration, with experience in multi-cluster, multi-region, and multi-account configurations.

Cloud Networking SkillsHands-on experience with advanced cloud networking concepts including VPC peering, Transit Gateway, private link/service endpoints, and neocloud networking constructs.

Education

Educational BackgroundBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred. Equivalent professional experience will be considered.

Experience

Industry ExperienceMinimum of 7 years of professional experience building and operating production cloud infrastructure, with a proven track record of leading complex system designs and migrations.

Enterprise Infrastructure DesignProven experience building secure, isolated environments for enterprise customers, including single-tenant, BYOC, and on-premises deployments.

Skills

Required skills

AWSDeep expertise in AWS cloud infrastructure and services

KubernetesAdvanced container orchestration and EKS management skills

TerraformProficiency in infrastructure as code using Terraform

Programming LanguagesStrong software engineering skills in Python, Go, or Rust

Nice to have

Multi-Cloud ExperienceExperience with multiple cloud providers and hybrid cloud architectures

AI InfrastructureBackground in designing infrastructure for AI and machine learning workloads

Compensation & benefits

Salary

USD 220,000 – 405,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Stock options or equity package available for the role

Cutting-Edge Technology

Opportunity to work on advanced AI-powered infrastructure at a pioneering tech company

Interview process

1
Initial Screening — Review of resume and initial qualifications by recruiting team
2
Technical Phone Screen — Detailed discussion of cloud infrastructure experience and technical capabilities
3
Technical Interview — In-depth technical interviews focusing on cloud architecture, system design, and problem-solving skills
4
On-Site or Virtual Interviews — Comprehensive interview rounds with cloud infrastructure and engineering leadership
5
Final Review — Final evaluation and potential job offer discussion