Software Engineer, Site Reliability
AI Summary
A senior SRE who owns the reliability and availability of customer-facing systems at scale, from Kubernetes clusters and CI/CD pipelines to networking and automated incident response.
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 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
