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Julius AI

No-code data analysis and visualization tool

Senior Software Engineer - Infrastructure

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Production experience with Kubernetes and container internals such as Docker and containerd.
  • Strong networking fundamentals.
  • Experience with cloud platforms such as AWS, GCP, or Azure and infrastructure as code tools such as Terraform and Helm.
  • Experience with monitoring and logging tools such as Prometheus, Grafana, OpenTelemetry, and ELK or Vector.
  • Knowledge of security best practices for containerized, multi-tenant systems.

Responsibilities

  • Design and operate secure, multi-tenant container infrastructure with fast startup and smart autoscaling.
  • Ship cloud deployments using Helm and Terraform with single sign-on, network controls, and audit logging.
  • Drive observability through metrics, traces, and logs; define clear service-level objectives and lead incident response.
  • Optimize images, scheduling, networking, and cost; build fair-use and rate-limiting controls.
  • Own reliability, performance, and security for multi-tenant compute across cloud environments.

Desired Qualifications

  • Experience with gVisor, Kata, or Firecracker.
  • Experience with Cilium or eBPF.
  • Experience with GPU scheduling.
  • Experience with serverless autoscaling tools such as KEDA, Knative, or Karpenter.
  • Having built an AI side project and an interest in working with large language models.

About the Company

Julius AI

No-code data analysis and visualization tool

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.

Company size
11-50
Company stage
Seed
Total funding
$10.6M
Headquarters
San Francisco, CA
Founded
2022

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