Hadrian - Manufacturing the Future

Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.

Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.

Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen.

If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for.

The Role

In this role you'll define the technical direction for the infrastructure platform powering automated manufacturing across multiple factory sites. You'll shape the architecture spanning cloud, edge, and factory-floor systems, setting the standards, patterns, and engineering culture that the entire organization builds on. You'll move fluidly between strategy and implementation: one day driving a multi-cluster Kubernetes architecture decision, the next pairing on a Terraform module that makes it real. This role demands someone who has simplified complex systems at org scale, built platforms that engineers love to use, and grown the people around them. Not just shipped impressive infrastructure, but made everyone else's infrastructure better too.

What You’ll Do

Design and implement cloud infrastructure on AWS using Terraform/OpenTofu

Build and manage Kubernetes clusters (EKS in cloud, K0s/K3s at the edge)

Build CI/CD pipelines and GitOps workflows with GitHub Actions and ArgoCD

Develop reusable infrastructure patterns: Terraform modules, Helm charts, CUE schemas

Architect networking between sites, edge devices, and cloud

Implement monitoring and observability with Prometheus/Grafana and Datadog

Support edge computing and IoT device deployments on factory floors

Drive build-vs-buy decisions and technology evaluations

Establish engineering standards and best practices

Represent infrastructure in cross-functional architecture reviews

Make architecture decisions under ambiguity and document them as ADRs

Identify systemic operational gaps and drive automation that eliminates recurring toil

Participate in on-call rotation and incident response

Write clear documentation and runbooks

What We’re Looking For

8+ years in infrastructure or platform engineering

Demonstrated ability in infrastructure design across cloud, containers, and networking

Can go from architecture whiteboard to production implementation, and has done it repeatedly

Deep Terraform/IaC skills with module development and testing experience

Production Kubernetes experience including troubleshooting, scaling, and multi-cluster patterns

Strong security instincts: threat modeling, least privilege, compliance fundamentals

Track record of building reusable patterns that other engineers adopt

History of reducing complexity, not just adding capability

Strong documentation and communication skills

Comfortable mentoring teammates and sharing knowledge

What Will Set You Apart

Deep hands-on experience with Terraform module architecture and testing

Background building CI/CD platforms, not just pipelines

Experience with edge or IoT infrastructure in manufacturing, defense, or robotics

Track record of reducing infrastructure complexity, not just adding to it

History of building patterns that other teams adopted organically

Compensation

For this role, the target salary range is $175,000 - $285,000 (actual range may vary based on experience).