Job at a glance
Responsibilities Own and operate Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation Build and maintain CI/CD pipelines and deployment infrastructure Leverage AI to automate analysis and resolution of production issues Build dashboards, alerting, and anomaly detection across systems Define and enforce SLOs and build out incident response processes Manage and improve networking, load balancing, and service mesh configurations Drive reliability improvements 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 Preferred Qualifications Experience with managing GPU and AI/ML workloads Experience with kernel-based monitoring and routing (eBPF, XDP) security tooling (Falco, Coroot, SIEM) Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB) Experience with distributed storage systems (Ceph, Longhorn, etc.) About the Company 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.