Software Engineer, Site Reliability at fal (Global)
fal· Global·
Role details
Interesting And Challenging Work · Learning And Growth Opportunities · Regular Team Events And Offsites
Summary
Senior Site Reliability Engineer responsible for maintaining reliability and availability of production infrastructure at scale. Key duties include managing Kubernetes clusters, building CI/CD pipelines, and automating incident resolution using AI-driven tools.
Job description
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. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
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
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Why work at fal
- Engineering culture: Fast-paced, high-agency environment focused on infrastructure and ML performance. Teams own critical systems from day one.
- Work model: Primarily in-person at downtown San Francisco office. Remote opportunities available for exceptional candidates.
- Visa sponsorship: Offered with relocation support to San Francisco.
- Benefits: Competitive salary and equity, health/dental/vision insurance, regular team events and offsites.
- Growth trajectory: Company is scaling rapidly (headcount +246% YoY) with ambitious goals to 1000x usage, offering significant career growth opportunities.
- Impact: Work on the foundational platform powering generative AI for millions of users and leading enterprises.