Founding AI Infrastructure Engineer — Remote/Hybrid, Equity

Harden; San Francisco (CA); Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity

Job summary

Harden is seeking a founding AI Infrastructure Engineer to own the foundations for AI-powered workflows, from prototype to production. You will design distributed systems, build scalable Kubernetes-based infrastructure, and shape security-sensitive runtimes in customer environments.

You’ll work across data/model pipelines, observability, and API surfaces, delivering fast, reliable, and auditable platforms that integrate with customers' CI/CD, SIEM, IAM, and cloud ecosystems in a high-ownership

Qualifications

• Required: strong production distributed systems experience.

Responsibilities

• Design and build production services for AI/ML workloads with clear SLOs.
• Own Kubernetes deployments end-to-end: rollout, autoscaling, networking.

Skills

Distributed systems

Kubernetes

Python

Go/Rust/C++

AWS/GCP/Azure

Performance engineering

API design

Security-aware infra

Tools

Kafka

Datadog

CI/CD tooling

Terraform

Job description

Harden is seeking a founding AI Infrastructure Engineer to own the foundations for AI-powered workflows, from prototype to production. You will design distributed systems, build scalable Kubernetes-based infrastructure, and shape security-sensitive runtimes in customer environments.

You’ll work across data/model pipelines, observability, and API surfaces, delivering fast, reliable, and auditable platforms that integrate with customers' CI/CD, SIEM, IAM, and cloud ecosystems in a high-ownership