3 months ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$150k - $200k/yr
Responsibilities
- Design and operate secure, multi-tenant container infrastructure with fast startup and intelligent autoscaling.
- Ship cloud deployments with SSO, network controls, and audit logging.
- Drive observability through metrics, traces, and logs with clear SLOs, and lead incident response.
- Optimize container images, scheduling, networking, and infrastructure cost.
- Build fair-use and rate-limiting controls.
Requirements
- Production experience with Kubernetes and container internals, including Docker or containerd.
- Strong networking fundamentals and experience with cloud platforms such as AWS, GCP, or Azure.
- Experience with infrastructure as code and deployment tooling including Terraform and Helm.
- Familiarity with monitoring and logging technologies such as Prometheus, Grafana, OpenTelemetry, ELK, or Vector.
- Knowledge of security best practices for containerized, multi-tenant systems.
- Nice-to-have experience with gVisor, Kata, Firecracker, Cilium, eBPF, GPU scheduling, KEDA, Knative, or Karpenter.
- Experience building an AI side project and interest in LLMs is a plus.
Benefits
- Health and dental insurance, gym reimbursement, daily team meals, and commuter benefits.
Tech Stack
About Julius AI
Your AI Data Scientist: Easily analyze, visualize and transform data