Join fal as a Senior Site Reliability Engineer to enhance the reliability of customer-facing systems in a growing generative media ecosystem.
Posted by employer 6 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Leverage AI to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer specializing in Site Reliability is responsible for ensuring the reliability and availability of customer-facing systems, managing everything from Kubernetes clusters to deployment pipelines. The position requires expertise in infrastructure-as-code tools like Terraform and Ansible, along with strong skills in Linux networking and CI/CD systems. Ideal candidates will have over five years of experience in critical production environments and a proactive approach to improving system performance. The team at fal is focused on leveraging AI to enhance operational efficiency, making this an exciting opportunity for those passionate about cutting-edge technology
Joblaze insights
Quick facts
From the original posting
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.
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
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
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.)
Turkey
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.