Infrastructure Engineer: AI-Driven Platform Reliability (Hybrid)

WRITER

Seattle (WA)

Hybrid

USD 155,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Generous PTO
Medical coverage
Dental coverage
Vision coverage
Parental leave
Fertility support
401k + stock
Work-life stipends

Job summary

WRITER is seeking an Infrastructure Engineer to join our hybrid team across New York, San Francisco, Seattle, or London. You’ll own reliability of core services, automate the stack, and scale platforms to support enterprise AI workloads.

The role emphasizes on-call ownership, incident analysis, and cross-functional collaboration to deliver measurable improvements in performance and cost efficiency. Ideal candidates bring 5+ years in large-scale production environments, strong containerization

Qualifications

  • 5+ years in infrastructure engineering, DevOps, or similar high-growth environment.
  • Experience running containerisation in production with Kubernetes, Helm, Terraform or Pulumi on at least one major cloud.
  • AI-enabled workflows and agentic tooling in daily work.
  • First-principles reasoning and strong problem solving in reliability contexts.

Responsibilities

  • Maintain reliability, performance, and efficiency of WRITER's core services end-to-end.
  • Define SLOs, carry the on-call pager, and lead incident response.
  • Design scalable, fault-tolerant infrastructure across AWS, GCP, and Azure.
  • Automate operational tasks and infrastructure management with Python or Go.
  • Collaborate with product, security, and engineering peers to align infra with business goals.

Skills

Infrastructure engineering
DevOps
SRE
Python
Go
Automation
AI tooling

Tools

AWS
GCP
Azure
Kubernetes
Helm
Terraform
Pulumi

Job description

WRITER is seeking an Infrastructure Engineer to join our hybrid team across New York, San Francisco, Seattle, or London. You’ll own reliability of core services, automate the stack, and scale platforms to support enterprise AI workloads.

The role emphasizes on-call ownership, incident analysis, and cross-functional collaboration to deliver measurable improvements in performance and cost efficiency. Ideal candidates bring 5+ years in large-scale production environments, strong containerization

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