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Julius AI

Software Engineer - Infrastructure (Mid - Senior)

Posted 14 Days Ago
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In-Office
San Francisco, CA, USA
150K-200K Annually
Mid level
In-Office
San Francisco, CA, USA
150K-200K Annually
Mid level
Build and scale secure, multi-tenant container infrastructure for cloud environments, ensuring reliability, performance, and security. Responsibilities include deploying cloud services, driving observability, and optimizing resource usage.
The summary above was generated by AI

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.

HQ

Julius AI San Francisco, California, USA Office

San Francisco, CA, United States

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