> Markdown version of [/jobs/ext/3952892-cloud-devops-engineer](https://www.wearedevelopers.com/jobs/ext/3952892-cloud-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud DevOps Engineer - **Company:** SIDEGUIDE TECHNOLOGIES INC. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $246,000 - $271,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, DevOps, Distributed Systems, Github, Role-Based Access Control, Security Assertion Markup Language (SAML), Software Engineering, Google Cloud, Data Ingestion, Juniper, Kubernetes, Low Latency, Machine Learning Operations, Terraform, Docker - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/cloud-devops-engineer-san-francisco-ca--bdbc92e8-f46b-4e16-98a0-65ccf56c9382 ## About the Role Cloud Computing, Software Engineering, DevOps, Cloud Computing, GitHub, Juniper Networks M-Series, Artificial Intelligence (AI), Data Collection, Customer Relations, GCP (Good Clinical Practices), 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., * 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, * 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 ## Description 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., * 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