Site Reliability Engineer

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 workloadsBuild and maintain CI/CD pipelines and deployment infrastructureLeverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainabilityBuild dashboards, alerting, and anomaly detection across our systemsDefine and enforce SLOs and build out incident response processesManage and improve our networking, load balancing, and service mesh configurationsDrive reliability improvements across the stack through automation, runbooks, and chaos engineering Requirements 5+ years experience in managing critical production systems and software development workflowsStrong 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 DNSExperience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD)Proficiency in Python and either Go or Bash for tooling and automationStrong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog)Excellent communication and ability to drive technical decisions across teamsSelf-starter who executes quickly, takes ownership, and constantly seeks improvement Nice to have Experience with managing GPU and AI/ML workloadsExperience 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.) Location San Francisco, CA What we offer At Fal Interesting and challenging workA lot of learning and growth opportunitiesWe are currently hiring in downtown San Francisco. Health, dental, and vision insurance (US)Regular team events and offsites Compensation Range: $180K - $250K