Cloud DevOps Engineer
About the role
Cloud DevOps Engineer responsible for designing, building, and operating Firecrawl's cloud and on-prem infrastructure, with a focus on Kubernetes, cost efficiency, observability, security, and scalable deployments across SF and Toronto locations.
Responsibilities
- Design, build, and operate GCP and on-prem infrastructure behind Firecrawl's products
- Run large stateful and high-throughput workloads on Kubernetes (search clusters, crawling fleets, queues, and databases) with zero-downtime upgrades
- Own CI/CD, Infrastructure as Code, automations, and containerized deployments across the platform
- Drive down infrastructure cost per request while traffic and data volume grow
- Build the observability that keeps latency, throughput, and reliability predictable, and define the SLIs, SLOs, and customer-facing SLAs we hold ourselves to
- Build and support our enterprise controls: SSO/SAML, RBAC, audit logging, tenant isolation, private networking, and the infrastructure behind SOC 2 and customer security reviews
- Work directly with product and search engineers to productionize new services, retrieval, and ML workloads
- Own the incident lifecycle with engineers, from on-call and triage process to postmortems and resolution
Qualifications
- You've operated stateful distributed systems on Kubernetes at real scale, not just stateless services
- Deep experience with a major cloud (GCP, AWS, or Azure), Docker, and Terraform. MLOps or ML-serving infrastructure experience (GPU workloads, model deployment pipelines) is a plus
- You've run large-scale, data-heavy systems in production: search platforms, crawling or ingestion pipelines, or comparable. Hands-on experience operating Vespa is a strong plus
- You care about latency, cost, and reliability in equal measure
- Experience with security and compliance infrastructure (SSO/SAML, audit logging, network isolation, SOC 2) is a strong plus
- You're comfortable owning ambiguous problems and turning them into shipped infrastructure
Skills
Benefits
- Equity in what you're helping build
- 15 days PTO (holidays excluded) with additional time off as needed
- 12 weeks fully paid parental leave
- Wellness stipend up to $100 USD/month
- Learning & Development expense up to $1,000 USD/year
- Team offsites
- Sabbatical: 3 paid months off after 4 years
- Medical, dental, and vision insurance (US employees)
- Life & Disability insurance (US)
- Virtual care and health guidance (US)
- Mental health benefits (US)
- Fertility and family building benefits
- EAP for counseling, legal, and financial support
- 401(k) retirement plan and pre-tax benefits (US)
- Extended health, dental, and vision for Canada (Manulife)
- RRSP retirement option (Canada)
- SF HQ and Toronto hub perks
- Transit benefits for Toronto-based employees
About Firecrawl
The web data API for AI
Firecrawl is a web data infrastructure platform that converts websites into clean, structured data optimized for AI applications through a simple API. Originally built as an internal tool at Mendable to solve their own data ingestion challenges, the team recognized the broader need for reliable web data extraction and transformed it into a standalone product. The platform combines web search, scraping, and AI-powered parsing into a unified solution, focusing on the core developer priorities of reliability, speed, and ease of use. By abstracting away the complexities of web data extraction, Firecrawl serves as the foundational data layer that enables AI applications to seamlessly access and process web content in the exact format they need.
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