Software Engineer, Site Reliability

Highlights

• Own reliability for generative media platform powering AI products at scale.
• Use AI extensively to automate analysis and resolution of production issues.
• Help scale infrastructure behind next-gen AI products used by ambitious teams.

What they offer

• Interesting and challenging work
• Learning and growth opportunities
• Health, dental, and vision insurance (US)
• Regular team events and offsites

Ideal candidate

Seasoned SRE who thrives owning critical production systems and treats every incident as a chance to improve. Self-starter who automates relentlessly, communicates clearly, and cares about reliability at scale.

Requirements

• 5+ years experience managing critical production systems and software development workflows
• Strong production experience setting up and operating Kubernetes at scale using IaC (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 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.)