# Cloud DevOps Engineer

**Company:** [Firecrawl](https://hotfix.jobs/companies/firecrawl)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $240k – $275k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, GCP, Docker, Terraform, Infrastructure As Code, CI/CD, Distributed Systems, Observability, Slis, SLOs, SAML, RBAC, Private Networking, Vespa, MLOps
**Posted:** 2026-08-20

> Build and operate the Kubernetes-based cloud and on-premises infrastructure powering large-scale crawling, search, and ML workloads. The role requires 5+ years in DevOps, platform engineering, or cloud infrastructure, with strong Kubernetes, cloud, Docker, Terraform, and distributed-systems experience.

## Job Description

## Responsibilities
- Design, build, and operate GCP and on-premises infrastructure supporting Firecrawl’s products.
- Run stateful, high-throughput workloads on Kubernetes, including search clusters, crawling fleets, queues, and databases, with zero-downtime upgrades.
- Own CI/CD, infrastructure as code, automation, and containerized deployments.
- Reduce infrastructure cost per request as traffic and data volume grow.
- Build observability for predictable latency, throughput, and reliability; define SLIs, SLOs, and customer-facing SLAs.
- Build and support enterprise controls, including SSO/SAML, RBAC, audit logging, tenant isolation, private networking, and infrastructure supporting SOC 2 and customer security reviews.
- Partner with product and search engineers to productionize services, retrieval systems, and ML workloads.
- Own the incident lifecycle, including on-call, triage, postmortems, and resolution.

## Requirements
- 5+ years of experience in DevOps, platform engineering, or cloud infrastructure.
- Experience operating stateful distributed systems on Kubernetes at scale.
- Deep experience with a major cloud provider, Docker, and Terraform.
- Experience running large-scale, data-heavy production systems such as search platforms, crawling systems, ingestion pipelines, or comparable infrastructure.
- Ability to balance latency, cost, and reliability.
- Ability to independently solve ambiguous problems and ship infrastructure.

## Nice-to-haves
- MLOps or ML-serving infrastructure experience, including GPU workloads and model deployment pipelines.
- Hands-on experience operating Vespa.
- Experience with SSO/SAML, audit logging, network isolation, SOC 2, and related security or compliance infrastructure.

## Compensation & Benefits
- Salary: **$240,000–$275,000 per year**.
- Competitive equity.
- 15 days of mandatory PTO, with additional time available by request.
- 12 weeks of fully paid parental leave for all parents.
- $100/month wellness stipend.
- Up to $1,000/year for learning and development.
- Team offsites.
- Three-month paid sabbatical after four years.
- Medical, dental, and vision coverage for US-based full-time employees.
- Employer-paid short-term disability, long-term disability, and life insurance.
- Optional supplemental insurance plans.
- Telehealth, 401(k), FSAs, commuter benefits, and pet insurance.
- San Francisco office perks and an e-bike transportation loaner for SF-based employees.
- Paid work trial, with remote-friendly scheduling.

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