fal
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
About this role
You are a seasoned SRE who keeps production infrastructure running at scale. You own the reliability and availability of customer-facing systems — from Kubernetes clusters to deployment pipelines to the networking layer that connects it all. You think in SLOs, automate ruthlessly, and treat every incident as a chance to make the system better.
Key Responsibilities
- Own and operate our Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads
- Build and maintain CI/CD pipelines and deployment infrastructure
- Leverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability
- Build dashboards, alerting, and anomaly detection across our systems
- Define and enforce SLOs and build out incident response processes
- Manage and improve our networking, load balancing, and service mesh configurations
- Drive reliability improvements across the stack through automation, runbooks, and chaos engineering
Requirements
- 5+ years experience in managing critical production systems and software development workflows
- Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code (Terraform, Ansible)
- Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS
- Experience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD)
- Proficiency in Python and either Go or Bash for tooling and automation
- Strong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog)
- Excellent communication and ability to drive technical decisions across teams
- Self-starter who executes quickly, takes ownership, and constantly seeks improvement
Nice to have
- Experience with managing GPU and AI/ML workloads
- Experience with kernel-based monitoring and routing (eBPF, XDP)
- Experience with security tooling (Falco, Coroot, SIEM)
- Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB)
- Experience with distributed storage systems (Ceph, Longhorn, etc.)
Compensation
- $180,000-250,000 plus equity + benefits (Range is based across 3 levels MId, Senior and Staff)
Location
-
San Francisco, CA (willing to consider remote for Senior and Staff levels)
What we offer at fal
- Interesting and challenging work
- A lot of learning and growth opportunities
- We are currently hiring in downtown San Francisco.
- We offer relocation assistance to San Francisco.
- Health, dental, and vision insurance (US)
-
Regular team events and offsites
To apply for this job please visit job-boards.greenhouse.io.
Explore fal online
Working in San Francisco
San Francisco, officially the City and County of San Francisco, is the fourth-most populous city in California and the 17th-most populous in the United States, with a population of 826,079 in 2025. Among U.S. cities with a population of 200,000 or more, San Francisco is ranked first by per capita income, second by population density, and sixth by aggregate income as of 2024. Some 4.6 million residents live in the city's metropolitan statistical area, which is the 13th-largest in the United States. Around 9.2 million live in the San Jose–San Francisco–Oakland combined statistical area, the fift
Market context
- Similar listings in San Francisco 1
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