Software Engineer, Site Reliability

The Consensus; Turkey; On-site; TRY 600,000 - 1,000,000; Full time

Benefits offered by this job

Interesting and challenging work

Learning and growth opportunities

Regular team events and offsites

Job summary

fal is the generative media ecosystem enabling AI product production at scale. We empower teams with high-performance inference, orchestration, and observability to launch AI-native products.

You will lead SRE for customer-facing systems, owning reliability, SLOs, and automated incident resolution, while shaping deployment pipelines and monitoring across clusters.

Qualifications

• 5+ years of experience managing production systems and software development workflows.
• Experience configuring Kubernetes at scale with IaC (Terraform, Ansible).
• Deep knowledge of Linux networking, container networking (CNI, VXLAN, BGP), and DNS.
• Experience building CI/CD systems and GitOps (FluxCD, ArgoCD).
• Python and either Go or Bash for tooling and automation.
• Experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog).
• Excellent communication and ability to drive technical decisions across teams.

Responsibilities

• Own and operate Kubernetes infrastructure including cluster lifecycle and multi-tenant isolation.
• Build and maintain CI/CD pipelines and deployment infrastructure.
• Automate analysis and resolution of production issues to improve speed and reliability.
• Create dashboards, alerting, and anomaly detection across systems.
• Define and enforce SLOs and incident response processes.
• Manage networking, load balancing, and service mesh configurations.
• Drive reliability improvements through automation and chaos engineering.

Skills

SRE experience

Communication

Self-starter

Ownership

Tools

Terraform

Ansible

FluxCD

ArgoCD

Prometheus

Grafana

Loki

Thanos

VictoriaMetrics

Datadog

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