Remote Infrastructure Engineer for AI Platform

People In AI; United States; On-site; USD 240,000 - 280,000; Full time

Benefits offered by this job

Healthcare

401(k) match

Generous PTO

Wellbeing stipend

AI learning budget

Premium home office setup

Fully remote with quarterly offsites

Job summary

People In AI is hiring an Infrastructure Engineer to own and scale the platform powering enterprise AI workloads. You will manage the cloud environment, drive reliability and security, and work closely with engineering leadership to shape the evolution of the infrastructure.

You will own Kubernetes clusters, enable cost-efficient scalability, and build repeatable, secure infrastructure for multi-tenant deployments while enhancing observability and incident response across AWS and GCP.

Qualifications

• Strong experience with Terraform and Infrastructure as Code (IaC).
• Experience with AWS and familiarity with GCP.
• Knowledge of GitOps and modern CI/CD practices.
• An SRE mindset with experience improving monitoring and incident management.
• Experience with security, compliance, and cloud infrastructure best practices.
• Strong software engineering fundamentals with the ability to contribute to backend code.

Responsibilities

• Own and scale cloud infrastructure across AWS and GCP.
• Manage Kubernetes clusters, networking, databases, and CI/CD pipelines.
• Build repeatable infrastructure for enterprise and single-tenant deployments.
• Improve observability, monitoring, alerting, and incident response.
• Drive security, compliance, disaster recovery, and operational readiness.
• Optimize infrastructure costs, performance, and capacity planning.
• Improve developer experience through deployment tooling and automation.
• Contribute to backend systems where infrastructure and application development intersect.

Skills

Terraform IaC

AWS & GCP

GitOps & CI/CD

SRE mindset

Security & Compliance

Backend code familiarity

Tools

Kubernetes

CI/CD pipelines

Terraform

Job description

People In AI is hiring an Infrastructure Engineer to own and scale the platform powering enterprise AI workloads. You will manage the cloud environment, drive reliability and security, and work closely with engineering leadership to shape the evolution of the infrastructure.

You will own Kubernetes clusters, enable cost-efficient scalability, and build repeatable, secure infrastructure for multi-tenant deployments while enhancing observability and incident response across AWS and GCP.