Senior/Staff Site Reliability Engineer

TLDR

Own and operate Kubernetes infrastructure, build CI/CD pipelines, and leverage AI for automation, driving improvements in reliability and operational excellence.

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.)

Location

  • Turkey

What we offer at fal

  • Interesting and challenging work
  • A lot of learning and growth opportunities
  • Regular team events and offsites

Fal builds a generative media platform that empowers developers to create and scale multimodal AI applications effortlessly, providing ready-to-use APIs and intuitive interfaces. Focused on delivering robust infrastructure for the generative AI era, Fal combines expertise in distributed systems with custom compute environments to ensure high performance and reliability.

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