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# AWS Cloud Engineer

- **Company:** Propertyvalue Quantum Technologies Llc
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $185,120.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Cloud Computing Security, Code Review, Continuous Delivery, Continuous Integration, DevOps, Machine Learning, Azure Machine Learning, Security Software, Software Engineering, Software Vulnerability Management, Policy as Code, Google Cloud, Multi-Cloud, AI Platforms, Health Level Seven International, Machine Learning Operations, Devsecops
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/c6fa474e-2e82-4314-9097-2f88c7127774

## About the Role

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 Platform4 years of experience in a technical lead or architectural leadership role3 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 protocolsWork Experience 5-7Years

## Description

As a Lead Engineer specializing in DevSecOps on the AI Platform Team, 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.

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


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