AI Infrastructure Engineer for Autonomous Agent Systems

Percepta

New York (NY)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Percepta is hiring an AI Infrastructure Engineer to own the infrastructure, deployment, and reliability powering our autonomous AI systems. You will tighten Terraform footprints, strengthen pipelines, and define patterns for multi-cloud, observable agentic workloads.

This role builds CI/CD, observability, and compliance-aware infrastructure across AWS, GCP, and Azure, collaborating with AI researchers and engineers to move research into production.

Qualifications

  • 5+ years building and operating production infrastructure in DevOps or SRE roles.
  • Strong hands-on Terraform experience.
  • Deep experience with at least one major cloud provider (AWS, GCP, or Azure).
  • Solid Docker and Kubernetes experience in production and CI/CD pipeline design.

Responsibilities

  • Define infrastructure patterns for multi-agent systems that are observable, controllable, and recoverable.
  • Own and evolve the IaC stack across AWS, GCP, and Azure.
  • Build observability primitives for agentic workflows and tracing of decisions.
  • Design and maintain CI/CD pipelines for fast, trustworthy production feedback.
  • Build operational foundations: monitoring, alerting, incident response, and compliance readiness.
  • Collaborate with engineering teams to meet reliability and regulatory requirements.

Skills

Terraform
Kubernetes
Cloud platforms
CI/CD
Python/Bash scripting
Observability
Automation
Multi-cloud
SRE mindset

Education

Bachelor's degree in CS/Engineering

Tools

Terraform
Kubernetes

Job description

Percepta is hiring an AI Infrastructure Engineer to own the infrastructure, deployment, and reliability powering our autonomous AI systems. You will tighten Terraform footprints, strengthen pipelines, and define patterns for multi-cloud, observable agentic workloads.

This role builds CI/CD, observability, and compliance-aware infrastructure across AWS, GCP, and Azure, collaborating with AI researchers and engineers to move research into production.

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