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Julius AI

Software Engineer - Infrastructure (Mid - Senior)

San Francisco, California, United States

Location
San Francisco, California, United States
Work
Not stated
Employment
Full-time
Level
Senior
Function
Engineering
Pay
$150K – $200K a year
Posted
5 months ago

Pay and the market here

The top of this role’s range, $200K a year, is 17% below the median of $240K for senior engineering jobs in San Francisco (middle half $210K – $270K, 1,147 jobs that state pay).

5,003 engineering jobs open in San Francisco: 9% remote, 949 posted in the last 30 days.

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About the role

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.

Source

Posted by Julius AI on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 12:13 UTC; the original is the reference.

View the original ad ↗

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