Skills

Full description

Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling
This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows
Build and operate scalable, low-latency infrastructure for search serving and retrieval
Design and improve distributed backend systems that handle high request volumes
Debug and optimize Linux systems, containers, networking, and production services
Improve reliability through observability, capacity planning, performance profiling, and incident response
Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes
Build internal tools and automation for development, testing, debugging, and infrastructure operations
Improve CI/CD pipelines, release processes, and production rollout safety
Contribute directly to product codebases across Rust, Go, and other systems languages
Own systems end to end, from architecture and implementation to deployment and production operation

Comfort working across infrastructure and application-level code
Experience building or maintaining CI/CD systems and release tooling
Strong experience with cloud infrastructure, distributed systems, and automation
Deep understanding of Linux internals, performance analysis, and production debugging
Experience with containers, orchestration, observability, and infrastructure as code
Strong ownership and the ability to operate effectively in a fast-moving environment
Experience building or operating latency-sensitive, high-throughput backend systems
Fluency in at least one systems language, such as Rust, Go, C++, or Java
Experience with search, retrieval, ranking, or other large-scale data-serving systems
Experience operating Rust services in production
Experience with AWS, Kubernetes, and modern observability systems
Experience building AI-assisted developer or operational tooling
Experience with profiling, capacity planning, and performance optimization

Backend/Infrastructure Engineer (Member of Technical Staff, Search)

Compensation

Not disclosed

Location

Berlin, Germany; London, United Kingdom; Belgrade, Serbia

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

Not specified

Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling
This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows
Build and operate scalable, low-latency infrastructure for search serving and retrieval
Design and improve distributed backend systems that handle high request volumes
Debug and optimize Linux systems, containers, networking, and production services
Improve reliability through observability, capacity planning, performance profiling, and incident response
Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes
Build internal tools and automation for development, testing, debugging, and infrastructure operations
Improve CI/CD pipelines, release processes, and production rollout safety
Contribute directly to product codebases across Rust, Go, and other systems languages
Own systems end to end, from architecture and implementation to deployment and production operation

Comfort working across infrastructure and application-level code
Experience building or maintaining CI/CD systems and release tooling
Strong experience with cloud infrastructure, distributed systems, and automation
Deep understanding of Linux internals, performance analysis, and production debugging
Experience with containers, orchestration, observability, and infrastructure as code
Strong ownership and the ability to operate effectively in a fast-moving environment
Experience building or operating latency-sensitive, high-throughput backend systems
Fluency in at least one systems language, such as Rust, Go, C++, or Java
Experience with search, retrieval, ranking, or other large-scale data-serving systems
Experience operating Rust services in production
Experience with AWS, Kubernetes, and modern observability systems
Experience building AI-assisted developer or operational tooling
Experience with profiling, capacity planning, and performance optimization