Staff Software Engineer, Cloud FinOps
Staff-level engineer driving company-wide cloud cost optimization and FinOps initiatives across engineering teams. Requires 5+ years infrastructure experience and 2+ years FinOps/cloud cost management.
Site Reliability Engineer (Mid/Senior/Staff)
Owns and operates Kubernetes infrastructure at scale, builds CI/CD pipelines, automates incident resolution with AI, defines SLOs, and drives reliability through chaos engineering. Requires 5+ years managing production systems, Kubernetes expertise, and monitoring tools like Prometheus/Grafana.
180k – 250kSan Francisco, CADevOps / SREHybrid5+ YOE
About the role
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.)
Compensation
$180,000-250,000 plus equity + benefits (Range is based across 3 levels)
Skills
KubernetesTerraformAnsiblePrometheusGrafanaCI/CDGitOpsFluxcdArgo CDPythonGoLinux NetworkingEbpfCiliumDatadog
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