Easy Apply
Be an Early Applicant
Generative media platform for developers.
The Role
Operate and improve Kubernetes-based production systems, manage cluster lifecycle and networking, build CI/CD and GitOps pipelines, define SLOs and incident response, automate resolution with AI, implement monitoring/alerting, and drive reliability through automation and chaos engineering.
Summary Generated by Built In
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
- 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.)
- $180,000-250,000 plus equity + benefits
San Francisco, CA
- Interesting and challenging work
- A lot of learning and growth opportunities
- We are currently hiring in downtown San Francisco.
- We offer visa sponsorship and will help you relocate to San Francisco.
- Health, dental, and vision insurance (US)
Regular team events and offsites
Top Skills
Kubernetes,Terraform,Ansible,Cni Plugins,Vxlan,Bgp,Dns,Fluxcd,Argocd,Python,Go,Bash,Prometheus,Grafana,Loki,Thanos,Victoriametrics,Datadog,Ebpf,Xdp,Falco,Coroot,Siem,Calico,Cilium,Metallb,Ceph,Longhorn
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Generative Media Cloud
