Principal Platform Engineer — AI-Driven Infra Leader

LinkedIn

California (MO)

Hybrid

USD 226,000 - 369,000

Full time

14 days+
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Job summary

LinkedIn is seeking a Principal Staff Engineer to lead architecture and build next-generation infrastructure powering AI-first developer platforms at global scale. You will define end-to-end infrastructure for CI/CD, deployment, observability, and real-time data pipelines, mentoring teams across cloud environments.

You will drive security-by-design standards, supervise architecture reviews, and guide large-scale Kubernetes-based compute infrastructure, service delivery, and traffic management to

Qualifications

  • BS/BA in Computer Science or related field or equivalent technical experience.
  • 10+ years of experience in software design, development, and algorithm related solutions.
  • 5+ years of experience as an architect or in a technical leadership position.
  • Experience designing and building distributed systems, service infrastructure, or related systems.

Responsibilities

  • Architect large-scale infrastructure systems for end-to-end software lifecycle platforms.
  • Design unified CI/CD and deployment platforms spanning build, test, deploy, and runtime operations.
  • Build observability, monitoring, and cost visibility systems for production infrastructure.
  • Develop real-time data pipelines and online serving systems supporting automated or AI-assisted operations.
  • Lead architecture reviews and mentor engineers on scalable system design.

Skills

Distributed systems design
Kubernetes
Cloud platforms
Technical leadership
Architectural leadership

Education

BS/BA in Computer Science or related field
MS/PhD in Computer Science or related field

Tools

CI/CD tooling
Envoy / gRPC
Apache Kafka

Job description

LinkedIn is seeking a Principal Staff Engineer to lead architecture and build next-generation infrastructure powering AI-first developer platforms at global scale. You will define end-to-end infrastructure for CI/CD, deployment, observability, and real-time data pipelines, mentoring teams across cloud environments.

You will drive security-by-design standards, supervise architecture reviews, and guide large-scale Kubernetes-based compute infrastructure, service delivery, and traffic management to

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