Remote Director, Cloud Platform & Reliability Engineering

24-Mag Llc

Northern, New York (KY, NY)

Hybrid

USD 350,000 - 500,000

Full time

6 days ago
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Job summary

24-MAG LLC is seeking an experienced Director of Infrastructure Engineering to lead multi-cloud infrastructure (AWS/GCP) with a focus on platform engineering, reliability, and security. This role combines hands-on engineering with strategic leadership across cloud architecture, observability, and platform tooling.

You will define infrastructure strategy, drive IAM/SOC/ISO compliance efforts, and build a high-performing team while ensuring scalable, observable, and secure production AI-related

Qualifications

  • 8+ years in production infrastructure, platform engineering, DevOps, or SRE.
  • 3+ years engineering leadership experience.
  • Deep multi-cloud experience (AWS/GCP).
  • Strong Terraform and Kubernetes knowledge.
  • Experience with security/compliance and incident response.

Responsibilities

  • Own multi-cloud architecture across AWS and GCP and define strategy for scalability, reliability, security, and cost.
  • Design and improve CI/CD systems for fast, reliable, and secure software delivery.
  • Lead disaster-recovery and resilience initiatives and build observability across metrics, logs, traces, and alerts.
  • Embed security into cloud architecture, platform tooling, and software-delivery workflows; mentor engineers and lead the team.

Skills

Cloud architecture leadership
DevOps & SRE leadership
Strategic planning
Cross-functional collaboration

Tools

AWS
GCP
Terraform
Kubernetes

Job description

24-MAG LLC is seeking an experienced Director of Infrastructure Engineering to lead multi-cloud infrastructure (AWS/GCP) with a focus on platform engineering, reliability, and security. This role combines hands-on engineering with strategic leadership across cloud architecture, observability, and platform tooling.

You will define infrastructure strategy, drive IAM/SOC/ISO compliance efforts, and build a high-performing team while ensuring scalable, observable, and secure production AI-related

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