SRE Lead

present of AI; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

present of AI is seeking a founding infrastructure leader to own the cloud estate end-to-end, coordinating Terraform and ECS on AWS and GCP. You will scale GPU capacity for AI workloads while balancing speed, reliability, and cost.

The role emphasizes on-site reliability, DevOps depth, and security‑driven engineering decisions. The ideal candidate will manage uptime, monitoring, and incident response, while building CI/CD and environments that let a small team move fast.

Qualifications

• Hands-on site reliability and DevOps depth.
• Comfort with ambiguity and bias toward action.
• Ability to treat security/compliance as engineering problems.

Responsibilities

• Own the cloud estate end-to-end from Terraform/ECS on AWS/GCP.
• Provision and scale GPU capacity for AI workloads.
• Maintain uptime, monitoring, and incident response.
• Build CI/CD pipelines and environments for a fast-moving small team.
• Ensure CJIS/FedRAMP readiness and secure data handling.

Skills

On-site reliability

DevOps depth

Automation & SRE

Monitoring & incident response

Security & compliance mindset

Tools

Terraform

ECS

AWS

GCP

Job description

This is a founding infrastructure role that owns the whole cloud estate end to end, from Terraform and ECS on AWS and GCP through GPU capacity for AI workloads, uptime, monitoring, and incident response. A strong candidate brings hands on site reliability and DevOps depth, treats security and government compliance as engineering problems, and can build CI/CD and environments that let a small team move fast. Comfort with ambiguity and a bias toward action matter, since many questions are still open.

How it fits the AI era

The platform runs LLM and ML workloads, so the role includes provisioning and scaling GPU capacity while balancing speed, reliability, and cost. Much of the routine toil in monitoring and infrastructure changes can be automated, but judgment about what to alert on, how to respond when evidence systems fail, and how to keep sensitive data locked down stays human. Reliability and security decisions carry real weight here because the systems hold sensitive evidence.

How it builds AI experience

The role offers direct exposure to running GPU backed AI workloads at a company whose product analyzes audio, jail calls, and video evidence. Building that experience means learning to provision and scale GPU capacity, tune cost against performance, and design infrastructure that meets CJIS style access, encryption, logging, and audit needs. Working alongside a compliance team on government security requirements adds practical depth.

Worth showing

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

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.