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Software Engineer - Infrastructure (Mid - Senior)
Mid LevelEngineeringWorldwide
Over $120K
USD per year
Job Description
- Julius is an applied AI lab building coding agents.
- Executes approximately 1 million lines of code every 36 hours for over 1 million users.
- Has generated over 3 million visualizations.
- All code runs in isolated remote containers (code sandboxes) managed by Julius.
- Revenue-generating and backed by AI Grant, YCombinator, Bessemer Venture Partners, and founders from Vercel, Notion, Perplexity, Palantir, Replit, Zapier, Intercom, and Dropbox.
Role Summary:
- Build and scale code-execution sandboxes across cloud environments (AWS and GCP).
- Orchestrate over 500k containers per month with growing demand.
- Own reliability, performance, and security for multi-tenant compute infrastructure.
Compensation & Benefits:
- Competitive base salary range: $150K – $200K plus meaningful equity.
- Benefits include health & dental insurance, gym reimbursement, daily team meals, commuter benefits.
Team & Impact:
- Small senior team working on challenging infrastructure problems at meaningful scale.
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 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.
Job Expired
This job posting has expired and is no longer accepting applications.
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Early stage AI lab based in San Francisco with a mission to build the most powerful AI tools for knowledge workers.
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