Platform / DevSecOps Engineer, Secure AI Systems

3M

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Maplewood, MN
Salary
$145,676–$178,049 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $162k
$116k most similar roles pay here $226k

This role pays less than 55% of similar roles. Most pay $126,800–$215,325 — the shaded band above. At the midpoint, this role pays about $162k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About 3M

3M is a diversified technology and manufacturing conglomerate producing thousands of products across healthcare, safety, electronics, transportation, and consumer goods. Industry: Diversified Manufacturing

3M currently has 64 open roles on FindRole.

Listed pay typically runs $145,676–$178,049 across 54 roles with salary data.

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At a glance

TL;DR · Platform / DevSecOps Engineer, Secure AI Systems

As a Platform / DevSecOps Engineer - Secure AI Systems, you will serve as the principal hands-on owner of the secure platform foundation for a new AI architecture. You will design, build, automate, and operate an evolving environment spanning isolated cloud networks, hybrid infrastructure, and air-gapped on-premises platforms. Your daily responsibilities include managing runtime components for real-time inference, overseeing business-critical collaboration tools, enforcing Zero Trust boundaries, and administering GitHub Enterprise Server. You will develop secure software-supply-chain pipelines and manage geographically redundant failover capabilities. The role requires expertise in Terraform across AWS, Azure, or GCP, as well as experience with Kubernetes, Python, Bash, and PowerShell. This position addresses the technical challenge of securing high-stakes infrastructure for sensitive intellectual property within highly regulated environments, including defense, healthcare, and critical infrastructure sectors requiring strict compliance with standards like NIST CSF and FedRAMP.

What you'll do

  • Design, build, and operate a secure platform foundation for new AI architectures across cloud and air-gapped environments.
  • Architect and implement scalable runtime components for real-time inference, offline simulations, and edge deployments.
  • Manage the end-to-end operation of compute, storage, networking, and database infrastructure for business-critical platforms.
  • Enforce Zero Trust boundaries using segmentation, least-privilege access, and controlled ingress/egress across diverse network zones.
  • Administer GitHub Enterprise Server including repository management, identity integration, and disaster recovery configurations.
  • Develop a secure software-supply-chain pipeline to scan, validate, and promote trusted code and artifacts.
  • Engineer geographically redundant backup, replication, and failover capabilities with routine testing for all environments.
  • Automate platform operations using Terraform, scripting, and centralized observability tools while performing threat hunting and remediation.

What we're looking for

  • A Bachelor's degree in a relevant field or a High School Diploma with seven years of experience building and securing business-critical infrastructure is required.
  • Seven years of professional experience in platform engineering, DevSecOps, site reliability engineering, cloud infrastructure, or a related field is required.
  • Three years of experience designing and operating infrastructure using Terraform across public and private clouds is required.
  • Three years of production experience administering GitHub Enterprise Server or a comparable self-hosted software-development platform is required.
  • Scripting and software development in Python, Bash, or PowerShell with disciplined source control is preferred.
  • Experience managing highly scalable Kubernetes environments is preferred.
  • Experience operating critical systems in air-gapped, disconnected, or highly isolated production environments is preferred.
  • Export-controlled programs.

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