Cloud DevOps Engineer
You'll build the cloud infrastructure that turns the open web into data: the platform beneath Firecrawl's crawling, scraping, and search products. We need engineers who can make that foundation (Kubernetes, storage, networking, deployments) fast, reliable, and cheap at web scale. You'll own real infrastructure from day one, not tickets in a backlog.
Location
San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.
Equity Range: Competitive equity. Details shared during the process.
Location
San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week.
Job Type: Full-Time
Experience: 5+ years in DevOps, Platform Engineering, or Cloud Infrastructure
Work Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US. For Canada, we’ll consider work permit sponsorship case by case through our Toronto Hub.
What You'll Do
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
What We're Looking For
You've operated stateful distributed systems on Kubernetes at real scale, not just stateless services
You have 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
What We're NOT Looking For
Someone who needs a fully-specced ticket to start
Someone who wants to specialize narrowly and hand off everything else
Someone who optimizes for process over shipping