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Linero

Operational AI infrastructure for sensitive technologies

Staff Infrastructure & Security Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 7 years of experience in infrastructure, cloud engineering, or site reliability engineering, including a track record of building secure, compliant platforms at scale.
  • Deep expertise in AWS services including IAM, VPC, EKS, RDS, and CloudTrail.
  • Hands-on experience operating within a FedRAMP environment or direct exposure to the authorization process.
  • Fluency with infrastructure-as-code tools such as Terraform, Pulumi, or equivalent.
  • Experience in environments where security is a baseline, such as defense, government, intelligence, or highly regulated enterprise.

Responsibilities

  • Design and build cloud infrastructure spanning networking, compute, storage, access controls, and deployment pipelines.
  • Architect the platform with FedRAMP authorization as a north star and embed compliance requirements into the infrastructure.
  • Own the platform's security posture end-to-end, including threat modeling, vulnerability management, incident response, and audit readiness.
  • Build and maintain CI/CD pipelines, infrastructure-as-code, and observability tooling that enable reliable engineering delivery.
  • Establish operational practices for monitoring, alerting, on-call, and runbooks to support reliability commitments to enterprise customers.
  • Partner with the engineering team to ensure infrastructure decisions support product velocity.

Desired Qualifications

  • Candidates who have navigated FedRAMP authorization end-to-end across more than one organization or platform build are preferred.

About the Company

Linero

Operational AI infrastructure for sensitive technologies

Linero provides operational infrastructure to control access to sensitive technologies, built as an AI-native platform that runs an intelligence layer inside clients’ private environments. Its core product uses Retrieval-Augmented Generation to reason over confidential enterprise data without exposing it to public APIs and orchestrates fleets of AI agents to process internal documents and monitor external signals, with domain-specific model fine-tuning for accuracy. The company differentiates itself by offering governance-focused, in-house AI capabilities designed for national-security–sensitive use cases and by integrating with existing enterprise systems, while expanding from large enterprises to thousands of startups in AI, defense tech, and related fields. Linero’s goal is to ensure consequential technologies reach the right hands and are protected from misuse through controlled access and robust AI governance across industrial and national-security domains.

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