fal

site reliability engineer for generative media

In short

Senior Site Reliability Engineer role at fal, a generative media infrastructure platform for AI products, fully remote. The job centers on owning and scaling Kubernetes infrastructure, CI/CD pipelines, observability, and incident response, with heavy use of AI to automate production issue resolution. Requires 5+ years managing critical production systems, deep Kubernetes/Terraform/Ansible expertise, Linux networking knowledge, and proficiency in Python plus Go or Bash.

About fal
fal is a generative media ecosystem that provides infrastructure, tools, and model access for teams building AI products. Its unified platform brings together high-performance inference, orchestration, and observability to help developers and enterprises bring generative media products from idea to production at scale.
Responsibilities
•Own and operate Kubernetes infrastructure, including cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads
•Build and maintain CI/CD pipelines and deployment infrastructure
•Use AI extensively to automate production issue analysis and resolution and improve software development speed, reliability, and maintainability
•Build dashboards, alerting, and anomaly detection across systems
•Define and enforce SLOs and develop incident response processes
•Manage and improve networking, load balancing, and service mesh configurations
•Drive reliability improvements across the stack through automation, runbooks, and chaos engineering
Requirements
•5+ years of experience managing critical production systems and software development workflows
•Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code such as Terraform or Ansible
•Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS
•Experience building CI/CD systems and GitOps workflows such as FluxCD or ArgoCD
•Proficiency in Python and either Go or Bash for tooling and automation
•Strong experience with logging, monitoring, and alerting tools such as Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, or Datadog
•Excellent communication skills and ability to drive technical decisions across teams
•Self-starter who executes quickly, takes ownership, and constantly seeks improvement
Nice to have
•Experience managing GPU and AI/ML workloads
•Kernel-based monitoring and routing (eBPF, XDP)
•Security tooling (Falco, Coroot, SIEM)
•Bare metal Kubernetes networking (Calico, Cilium, MetalLB)
•Distributed storage systems (Ceph, Longhorn, etc.)
Conditions
•Interesting and challenging work
•Learning and growth opportunities
•Regular team events and offsites

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