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Lead DevSecOps Engineer

TekLeaders, IncMinneapolis, MN🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

You'll lead the architectural strategy and security framework for enterprise AI/ML platforms in a remote, growth-oriented role with significant impact. This is an excellent opportunity for a seasoned DevSecOps professional with a passion for AI and MLOps to shape cutting-edge platforms and drive innovation. Apply today to join a forward-thinking team!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
Minneapolis, MN, United States
Posted
Yesterday

Job Description

DevSecOps Lead Engineer with AI Platform

Remote for now

Job Description :

Position Summary

  • As a Lead Engineer specializing in DevSecOps on the AI Platform Team within Optum AI, you will drive the architectural strategy, automated infrastructure delivery, and security framework for our enterprise AI/ML platforms across multi-cloud environments, with a primary focus on Google Cloud Platform In this senior hands-on technical lead role,
  • you will integrate robust DevSecOps and MLOps practices into our core AI platform, ensuring continuous delivery, robust vulnerability management, AI security guardrails, and strict compliance.

Work Location Policy:

This position is open to 100% remote candidates residing anywhere in the U.S. For any hires residing in the Minneapolis, MN or Washington, D.C. areas, you will follow a hybrid model requiring in-office work a minimum of four days per week.

Primary Responsibilities

  • Lead the architectural design DevSecOps framework and infrastructure as code automation for multi-cloud AI/ML platforms with dedicated focus on Google Cloud Platform
  • Represent the AI platform organization in enterprise security architecture reviews threat modeling vulnerability management assessments and compliance audits
  • Architect build and maintain secure automated CI CD and MLOps pipelines for AI model training deployment, tracking, monitoring and lifecycle management
  • Partner with cross functional software engineering data science product management and cybersecurity teams to enforce security best practices across the AI lifecycle
  • Provide technical leadership architectural guidance code reviews and mentorship to DevOps MLOps, and AI/ML engineers across the team

Required Qualifications

  • Bachelors degree or 8+ additional years of software development DevSecOps or infrastructure engineering experience in lieu of a degree
  • 8 years of experience in Software Engineering Infrastructure Engineering or DevOps with at least
  • 4+ years dedicated to DevSecOps and Cloud Security 4 years of hands on experience designing building and securing enterprise cloud infrastructure across cloud providers, with dedicated expertise in Google Cloud Platform
  • 4 years of experience in a technical lead or architectural leadership role
  • 3 years of experience implementing CI CD pipelines policy as code and automated security scanning toolsCISSP CISM or DevSecOps professional security certification
  • Experience with healthcare data standards and security/compliance protocols

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