Senior/Staff Site Reliability Engineer

AI overview

Drive reliability improvements across a complex Kubernetes infrastructure while automating incident response and using AI for production issue resolution.

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

Location

  • San Francisco, CA

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 visa sponsorship and will help you relocate to San Francisco.
  • Health, dental, and vision insurance (US)
  • Regular team events and offsites

Perks & Benefits Extracted with AI

  • Health Insurance: Health, dental, and vision insurance (US)
  • Team events and offsites: Regular team events and offsites
  • Visa Sponsorship: We offer visa sponsorship and will help you relocate to San Francisco.

In the modern era, content is shifting from being human-made and algorithm-distributed to being generated on demand - personalized in real time for every audience, context, and moment. We’re Fal, and we’re building the infrastructure powering this transformation. Our platform is the first of its kind: a generative media stack for developers that enables real-time, AI-generated content across image, video, and audio.   At the core is our serverless Python runtime, purpose-built to run massive ML models across thousands of GPUs with unmatched speed and efficiency. Applications built on Fal already serve millions of users - and we’re just getting started. Founded in 2021, we're scaling fast and backed by top investors including a16z, Bessemer, and Kindred. If you're an ambitious builder who wants to define the future of AI and media, we’d love to meet you.

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Salary
$180,000 – $250,000 per year
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