Infrastructure Lead

present of AI; New York (NY); On-site; USD 160,000 - 210,000; Full time

Job summary

Closure’s AI investigative intelligence platform seeks a Senior Cloud Infrastructure Engineer in New York to own the full cloud stack, primarily on AWS and GCP, with Terraform, ECS, and GPU provisioning for AI workloads. You will ensure security and compliance (CJIS/FedRAMP), reliability, monitoring, and incident response for a sensitive evidence pipeline.

The role emphasizes cost-aware decision making and scalable infrastructure for a small team moving fast; you’ll stay close to AI work without

Qualifications

• Experience delivering secure, compliant cloud platforms for sensitive data.
• Strong monitoring, incident response, and reliability engineering.
• Ability to optimise cost and performance in a government-grade cloud.
• Proven track record with infrastructure as code and automated provisioning.

Responsibilities

• Own the full cloud infrastructure stack (AWS/GCP) for AI workloads.
• Scale GPU capacity for LLM/ML tasks in a government cloud context.
• Implement CJIS/FedRAMP-compliant controls and auditing.
• Develop and maintain CI/CD pipelines to accelerate small-team delivery.

Skills

Security & compliance

Cloud infra design

GPU provisioning

CI/CD pipelines

Tools

Terraform

AWS

GCP

ECS

Job description

This role owns the whole cloud setup for a company handling sensitive law enforcement evidence. A strong candidate has run infrastructure on AWS and GCP with Terraform, handled security and compliance requirements like CJIS or FedRAMP as real engineering work, and kept systems reliable through monitoring and incident response. Experience provisioning GPU capacity for AI workloads and building CI/CD that lets a small team move fast matters here.

How it fits the AI era

The platform runs AI models over audio and video evidence, so the infrastructure has to support heavy GPU workloads while staying secure and available. Much of the routine provisioning and monitoring can be automated, but judgment about cost, reliability tradeoffs, and compliance decisions stays with a person. The role sits close to the AI work without being an ML role itself.

How it builds AI experience

Working here means gaining hands on experience scaling GPU capacity for LLM and ML workloads in a government cloud setting. Building infrastructure that meets CJIS and similar requirements while serving AI features is a rare and marketable skill. Candidates can prepare by learning Terraform, ECS, and GPU provisioning on AWS or GCP, and by studying government security frameworks.

Worth showing

• Terraform and ECS
• AWS and GCP
• CJIS or FedRAMP
• GPU capacity scaling

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.

About Closure

AI investigative intelligence platform analyzing audio recordings, jail calls, and video evidence to accelerate criminal case clearance, per the company.