Principal DevSecOps & AI Platform Engineer | Azure, AWS Bedrock & AI Agents
Ho Chi Minh City
Hello! I'm Happy Nguyen, a passionate DevSecOps Architect and AI Specialist based in Ho Chi Minh City. I specialize in bridging the gap between development, security, and operations while leveraging cutting-edge AI technologies to drive innovation and efficiency.
With strong experience in Azure and cloud platforms, I focus on designing and deploying secure, scalable infrastructure that enables organizations to ship applications quickly while keeping security front and center. My work spans the DevSecOps pipeline—from development and security scanning to automated deployment and monitoring—and I implement observability with DataDog and New Relic so teams have clear visibility into application and infrastructure health.
In the AI domain, I work with modern machine learning frameworks and cloud-based AI services to develop intelligent solutions that enhance business processes. Whether it's implementing MLOps practices, building custom AI models, or integrating AI services into existing applications, I help organizations harness the power of artificial intelligence to achieve their strategic goals.
I believe in the power of automation, security-first development practices, and continuous learning. My approach combines technical expertise with strategic thinking to deliver solutions that not only meet current needs but also scale for future growth. I'm always excited to explore new technologies and collaborate on innovative projects that push the boundaries of what's possible in the DevSecOps and AI space.
MoneyForward Vietnam
Focus: AI Platform, Azure Landing Zone, and AI agents.
As Principal DevSecOps Engineer, I own the design and delivery of the AI Platform and Azure foundation that internal teams use to build and run AI agents and automation. I work across platform engineering, security, and governance so the company can scale AI workloads safely and efficiently.
Mercatus Company
FINVIET Joint Stock Company
123HOST
Established and implemented a comprehensive Azure Landing Zone solution with enterprise-grade security, governance, and compliance controls. Designed multi-subscription architecture with centralized monitoring using DataDog and New Relic for complete observability. Developed and deployed Azure AI Landing Zone to support machine learning workloads with secure MLOps pipelines and AI governance frameworks. Created Azure Shared Modules to enable code reusability and standardization across multiple projects running on Azure infrastructure.
Designed and deployed an enterprise AWS Landing Zone with a multi-account architecture using AWS Organizations and Control Tower, centralized security controls, and continuous compliance monitoring. Established custom guardrails (SCPs), centralized logging and audit, IAM/identity baselines, and network segmentation to enforce governance at scale. Automated account provisioning and configuration with Terraform and integrated observability (Datadog, New Relic, CloudWatch) so platform teams can onboard new workloads securely and consistently.
Designed and implemented an AI Landing Zone on AWS to support secure, scalable, and governed AI/ML workloads. Established multi-account foundations with security baselines, guardrails, and compliance controls so teams can build and run models and AI agents safely. Integrated secure MLOps pipelines, centralized observability, and Amazon Bedrock-based services for production-grade AI on AWS.
Building an AI coworker: a tool and agent that works alongside engineering and product teams and installs as a plugin into existing workflows. Focused on improving token efficiency and reliability, and hardening agent security (scoped permissions, safe tool execution, and guardrails). Paired with a marketplace to discover, share, and install agents and plugins.
I'm always interested in new opportunities and collaborations. Feel free to reach out!