Senior Cloud Platform Engineer — Kubernetes at Web Scale

Mendable

San Francisco (CA)

Hybrid

USD 240,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Competitive equity
Generous PTO
Parental leave
Wellness stipend
Learning & Development
Team offsites
Sabbatical
Medical/dental/vision

Job summary

Firecrawl is seeking a seasoned Infrastructure Engineer to design, build, and operate cloud and on‑prem infrastructure behind our data products. You will run large stateful workloads on Kubernetes, manage CI/CD and IaC, and optimize cost per request while scaling traffic and data volume.

Ideal candidates have 5+ years in DevOps or platform engineering, deep cloud experience (GCP/AWS/Azure), and hands-on knowledge of containers, Terraform, and observability.

Qualifications

  • 5+ years in DevOps, Platform Engineering or Cloud Infrastructure.
  • Experience operating stateful distributed systems at real scale on Kubernetes.
  • Strong cloud experience (GCP/AWS/Azure) and IaC tooling.

Responsibilities

  • Design, build, and operate cloud and on‑prem infrastructure behind Firecrawl's products.
  • Run large stateful workloads on Kubernetes with zero‑downtime upgrades.
  • Own CI/CD, Infrastructure as Code, automations, and containerized deployments.
  • Drive down cost per request while traffic grows.
  • Build observability and define SLIs/SLOs for reliability.
  • Support enterprise controls (SSO/SAML, RBAC, audit logging, SOC 2).
  • Collaborate with product/engineering to productionize services.
  • Own incident lifecycle from on‑call to postmortems.

Tools

Kubernetes
GCP
Docker
Terraform
CI/CD
Vespa

Job description

Firecrawl is seeking a seasoned Infrastructure Engineer to design, build, and operate cloud and on‑prem infrastructure behind our data products. You will run large stateful workloads on Kubernetes, manage CI/CD and IaC, and optimize cost per request while scaling traffic and data volume.

Ideal candidates have 5+ years in DevOps or platform engineering, deep cloud experience (GCP/AWS/Azure), and hands-on knowledge of containers, Terraform, and observability.

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