Why this role stands out
As a Software Engineer on Julius's infrastructure team, you'll build and scale secure, high-performance container sandboxes powering AI coding agents for millions of users, offering significant career growth and a chance to work with top-tier investors and founders. This role is ideal for experienced engineers who thrive on complex distributed systems, enjoy optimizing for reliability and performance, and are eager to make a substantial impact at a revenue-generating AI lab with competitive compensation and meaningful equity. Apply today to shape the future of AI development!
Quick overview
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.
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