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Зарплата не указанаСовременный стек технологийЧеткое определение роли
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TL;DR
Infrastructure Engineer (Search): Building and operating scalable, low-latency infrastructure and distributed backend systems for a latency-sensitive search stack with an accent on Rust and Go services, cloud infrastructure, and observability. Focus on optimizing Linux and networking performance, improving deployment safety, and owning systems from architecture through production operation.
Location: Belgrade, Serbia; Berlin, Germany; London, United Kingdom
Company
Perplexity develops a latency-sensitive search stack powered by scalable backend and retrieval systems.
What you will do
Build and operate scalable, low-latency infrastructure for search serving and retrieval.
Design and improve distributed backend systems handling 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 using AWS and Kubernetes.
Build internal automation, improve CI/CD and release safety, and contribute to Rust and Go product codebases.
Requirements
Strong experience with cloud infrastructure, distributed systems, and automation.
Deep understanding of Linux internals, performance analysis, and production debugging.
Experience with latency-sensitive, high-throughput backend systems, containers, orchestration, observability, and infrastructure as code.
Experience building or maintaining CI/CD systems and release tooling.
Fluency in at least one systems language, such as Rust, Go, C++, or Java.
Ability to work across infrastructure and application-level code with strong end-to-end ownership.
Nice to have
Experience with search, retrieval, ranking, or large-scale data-serving systems.
Production experience operating Rust services.
Experience with AWS, Kubernetes, modern observability systems, profiling, capacity planning, or performance optimization.
Experience building AI-assisted developer or operational tooling.
Culture & Benefits
Work spans infrastructure and application-level engineering.
Ownership covers architecture, implementation, deployment, and production operation.
AI-native tools are used where they improve engineering and operational workflows.
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