Firecrawl
Cloud DevOps Engineer
About this role
Firecrawl seeks an experienced Cloud DevOps Engineer to design and operate GCP and on-premises infrastructure supporting their web-to-data platform at scale. You'll own Kubernetes clusters, CI/CD pipelines, cost optimization, and enterprise security controls while working directly with product teams in a fast-paced environment.
What you'll do
- Design, build, and operate GCP and on-premises infrastructure for crawling and search products
- Run stateful, high-throughput Kubernetes workloads with zero-downtime deployments and scaling
- Own CI/CD pipelines, Infrastructure as Code, and containerized deployments across platforms
- Optimize infrastructure costs while scaling traffic and data volume
- Build observability systems, define SLIs/SLOs, and manage incident response
- Implement enterprise security controls including SSO/SAML, RBAC, audit logging, and tenant isolation
What they're looking for
- Kubernetes (stateful and high-throughput systems)
- GCP or major cloud platform (AWS/Azure)
- Docker and containerization
- Terraform or Infrastructure as Code
- Distributed systems operations at scale
- CI/CD and deployment automation
- Security and compliance infrastructure (SSO, SAML, audit logging)
- Observability and monitoring systems
Benefits
- Competitive salary ($240,000–$275,000 annually)
- Competitive equity package
- Hybrid work arrangement (San Francisco, on-site required)
- Work on frontier AI infrastructure
- Ownership of real infrastructure from day one
- Direct collaboration with product and engineering teams
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Firecrawl
Firecrawl builds a web data extraction platform that transforms URLs into clean, LLM-ready data for AI applications. The company is hiring Forward Deployed Engineers to embed with customers and drive technical delivery, core platform engineers to own the scrape endpoint and product excellence, search and retrieval specialists to build information systems at scale, and Sales Engineers to help technical buyers adopt the platform.
- Website
- firecrawl.dev
Likely interview questions
- Describe a time you operated a stateful distributed system on Kubernetes at scale. What challenges did you face and how did you solve them?
- How have you approached cost optimization in cloud infrastructure while maintaining reliability and performance?