Software Engineer - Infrastructure (Mid - Senior)
julius
San Francisco, CA · San Francisco · Canada
Posted May 21, 2026
$150,000–$200,000 per year
- Full-time
- Engineering
- Software Engineer jobs in Canada
Job description
**Compensation:** Competitive base salary and meaningful equity **Benefits:** Health & dental insurance, gym reimbursement, daily team meals, commuter benefits We’re an applied AI lab building coding agents. Julius executes **~1M lines of code every 36 hours** for **1M+ users** and has generated **3M+** visualizations. All code runs in code sandboxes (**isolated remote containers**) that we manage. We’re revenue‑generating and backed by AI Grant, YCombinator, Bessemer Venture Partners and the founders from Vercel, Notion, Perplexity, Palantir, Replit, Zapier, Intercom, and Dropbox. **The Role** Build and scale the **code‑execution sandboxes** that power Julius across cloud environments (AWS and GCP). We orchestrate **500k+ containers/month** and growing. You’ll own reliability, performance, and security for multi‑tenant compute. **What You’ll Do** - Design and operate secure, multi‑tenant **container infrastructure** with fast startup and smart autoscaling. - Ship cloud deployments (Helm/Terraform) with SSO, network controls, and audit logging. - Drive observability (metrics, traces, logs) with clear SLOs; lead incident response. - Optimize images, scheduling, networking, and cost ; build fair‑use and rate‑limiting controls. **What You Bring** - Production Kubernetes and container internals (Docker/containerd); strong **networking** fundamentals. - Cloud (AWS/GCP/Azure) and IaC (Terraform/Helm). - Monitoring/Logging (Prometheus, Grafana, OpenTelemetry, ELK/Vector). - **Security** best practices for containerized, multi‑tenant systems. **Nice to Have** - gVisor/Kata/Firecracker; Cilium/eBPF; GPU scheduling; serverless autoscaling (KEDA/Knative/Karpenter). - You’ve built an AI side project and enjoy tinkering with LLMs. **Why Julius** Small, senior team; massive impact surface; hard infra problems at meaningful scale.