US Infrastructure Engineer

present of AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

present of AI seeks an engineer to turn cloud setups into repeatable, secure processes for demanding customers. You will work with Terraform on AWS and containers, building security controls directly into infrastructure.

The role focuses on running production systems, writing solid Python, and supporting security reviews with confidence, while aiding AI document editors used by patent teams in highly isolated, auditable environments.

Qualifications

• Experience running production systems.
• Solid Python development skills.
• Ability to engage in customer security reviews and audits.

Responsibilities

• Transform cloud setups into repeatable, secure processes for demanding customers.
• Manage production infrastructure with Terraform on AWS and containers.
• Design and implement security controls and incident response in the infrastructure.

Skills

Security mindset

Python development

Incident response

Tools

Terraform

AWS

Docker

Job description

This is a hands on role for someone who can take a cloud setup and turn it into a repeatable, secure process for demanding customers. The work centers on Terraform, AWS, containers and pipelines, plus building security controls directly into the infrastructure. A strong candidate has run production systems, writes solid Python, and can face a customer security review with confidence.

How it fits the AI era

The product is AI for patent work, so the infrastructure must serve models and data under strict isolation and audit rules. Much of the hardening, monitoring and deployment work can be partly automated, but judgment about architecture, incident response and customer trust stays with the engineer. The role grows in value as more legal teams demand private, regulated environments.

How it builds AI experience

Working here means running the infrastructure behind an AI document editor used by patent teams, including isolated and air gapped setups. That builds practical skill in deploying and securing AI services, handling sensitive data and meeting compliance frameworks. Adding FedRAMP or NIST familiarity and some AI or ML infrastructure exposure would strengthen a case.

Worth showing

• Terraform in daily use
• Owned production AWS
• IAM and least privilege
• Python backend services

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.