Senior Software Engineer
Julius AI
Senior Software Engineer
Julius AI
No-code data analysis and visualization tool
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.
Julius AI provides an intelligent data analyst tool that helps people interpret, analyze, and visualize data using plain English. It connects to data sources like Excel, CSV, Google Sheets, and Postgres databases, and users can ask questions in a chat interface to get insights, charts, and forecasting models. The AI translates natural language queries into executable data queries and models, runs the analysis, and presents results without requiring coding or data-science skills. Its goal is to empower a broad audience—from students to business professionals—to make data-driven decisions by making data interpretation, visualization, and forecasting accessible.
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