Software Engineer - Infrastructure (Mid - Senior)

Reposted 10 Days Ago
San Francisco, CA, USA
In-Office
150K-200K Annually
Mid level
Artificial Intelligence • Software
The Role
You will design and manage secure multi-tenant container infrastructure for scaling code execution sandboxes across cloud environments, ensuring performance and reliability.
Summary Generated by Built In

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.

Skills Required

  • 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
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
12 Employees

What We Do

Your AI Data Scientist: Easily analyze, visualize and transform data

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