Happy Nguyen
DevSecOps Architect | AI Specialist | Azure & AWS Cloud
Ho Chi Minh City
About Me
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 extensive experience in both Azure and AWS cloud platforms, I design and implement secure, scalable infrastructure solutions that enable organizations to deploy applications rapidly while maintaining the highest security standards. My expertise spans the entire DevSecOps pipeline, from code development and security scanning to automated deployment and continuous monitoring. I specialize in implementing comprehensive observability solutions using DataDog and New Relic, ensuring organizations have complete visibility into their application performance 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.
Skills & Expertise
DevSecOps & Security
Cloud Platforms
AI & Machine Learning
Programming & Scripting
Monitoring & Observability
Security & Compliance
Experience
DevSecOps Team Lead
Mercatus Company
- Spearheading the design and implementation of an AI Landing Zone to support scalable, secure, and high-performance deployment of AI agents and chatbots in the cloud.
- Collaborating with cross-functional teams to architect end-to-end MLOps pipelines, integrating data ingestion, model training, deployment, and monitoring.
- Leveraging best practices in cloud security, compliance, and automation to ensure robust, production-grade AI/ML environments.
- Evaluating and integrating advanced AI/ML tools and frameworks to accelerate development and deployment cycles for conversational AI solutions.
- Driving innovation in AI infrastructure, enabling rapid experimentation and reliable scaling for next-generation chatbots and intelligent agents.
- Lead the DevSecOps team in architecting, implementing, and maintaining secure, scalable, and high-performance cloud infrastructure across Azure, AWS, and GCP.
- Designed and established Azure Landing Zones and AWS foundational environments, ensuring best practices for security, compliance, and operational excellence.
- Architected robust cloud and data warehouse systems to support high-throughput, mission-critical workloads, focusing on scalability, reliability, and performance.
- Spearheaded technology selection and implementation, driving adoption of modern DevOps, DataOps, and cloud-native solutions. Facilitated knowledge transfer and upskilling within the team.
- Analyzed complex business and technical requirements, translating them into actionable tasks and clear technical specifications for cross-functional teams.
- Conducted expert code reviews and troubleshooting for Infrastructure as Code (IaC) and ETL pipelines, ensuring code quality, maintainability, and operational efficiency.
- Implemented and enforced compliance and governance frameworks (ISO, SOC 2), ensuring secure and regulated operations across all cloud environments.
- Led the design and deployment of highly available, resilient Kubernetes clusters (AKS, EKS), leveraging NGINX Ingress, Linkerd service mesh, and advanced monitoring/observability stacks (Grafana, ELK, Prometheus, Loki, NewRelic, Stackify).
- Automated infrastructure provisioning and configuration management using Terraform and Ansible, enabling rapid, consistent, and repeatable deployments.
- Built and optimized CI/CD pipelines with GitHub Actions, Jenkins, ArgoCD, Azure DevOps, and SonarQube, accelerating software delivery and improving code quality.
- Managed and optimized distributed databases and messaging systems (Microsoft SQL, MongoDB Cloud, PostgreSQL, MariaDB, Cosmos DB, RabbitMQ, Couchbase, Redis) for high availability and performance.
- Designed and implemented modern data engineering solutions using Azure Data Factory, StreamSets, Snowflake, Snowpipe, Snowpark, and Azure Analysis Services.
- Developed and deployed serverless and containerized applications using .NET Core, Node.js (Next.js), Python, PHP, Azure Functions, and App Services.
- Delivered advanced analytics and business intelligence solutions with PowerBI and Sigma, empowering data-driven decision-making.
- Developed and maintained internal tools and automation scripts using Python, Go, and Bash to streamline operations, enhance system reliability, and support DevOps workflows.
- Successfully led the team to deliver and operate high-load, enterprise-grade cloud and data platforms for demanding clients.
- Elevated the organization’s DevSecOps maturity, driving automation, security, and compliance across all environments.
- Recognized for technical leadership, innovation, and the ability to deliver robust solutions under high workload and complex requirements.
DevOps Lead
FINVIET Joint Stock Company
- Led and mentored a cross-functional DevOps team, fostering a culture of collaboration, continuous improvement, and technical excellence.
- Designed and implemented build and deployment servers, as well as the ECO Ewallet system, across both private and public clouds (AWS, GCP), ensuring high availability and disaster recovery (DC/DR).
- Maintained, updated, and patched company systems and applications, delivering hotfixes, security patches, and new features on a regular schedule and in response to customer and QA feedback.
- Built and established comprehensive monitoring and alerting systems using PRTG, Cacti, Nagios, Grafana, and Prometheus, enabling proactive system health analysis and predictive error detection.
- Architected, deployed, and maintained robust database systems (MongoDB, MySQL/MariaDB, PostgreSQL, Oracle), including high-availability clusters and replication (e.g., MongoDB Cluster, MariaDB Galera Cluster, Oracle Data Guard/RAC) for various environments (Test, UAT, Production).
- Developed and maintained automated CI/CD pipelines using GitLab, Jenkins, TeamCity, GitHub Actions, and ArgoCD, streamlining code deployment and reducing time-to-market.
- Managed and operated multi-cloud infrastructure (AWS, GCP, Azure), leveraging a wide range of services (IAM, EC2, ELB, ECS, EKS, VPC, S3, CloudFront, SES, Route53, WAF, RDS, API Gateway, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, ElasticCache, Compute Engine, Kubernetes Engine, CloudSQL, BigQuery, Cloud Storage, Azure VMs, Storage Accounts, ACR, Azure Database for PostgreSQL, Azure DevOps, Azure Cosmos DB).
- Provisioned servers and deployed features using Terraspace and Ansible for infrastructure as code and configuration management.
- Managed and operated enterprise firewall systems (Fortigate 500E, Sophos XG, Pfsense) to ensure network security and compliance.
- Built and deployed containerized applications with Docker and Kubernetes, integrating caching, queuing, and graph database solutions (ActiveMQ, RabbitMQ, Couchbase, Redis, Neo4j, GraphQL).
- Supported deployments for a variety of application stacks (Java, Node.js, ReactJS, NestJS, Laravel, Angular, Python, Golang).
- Built and managed virtualization and VDI systems using VMware vSphere, vCenter, and VMware Horizon.
- Designed and implemented custom applications and automation scripts in Python, Go, and Bash to optimize deployment processes, system monitoring, and incident response.
- Successfully led the DevOps team to deliver high-impact projects on schedule, improving system reliability and scalability.
- Enhanced system observability and incident response through advanced monitoring and alerting.
- Drove adoption of modern DevOps practices, resulting in faster, more secure, and more reliable software delivery.
System Administrator
123HOST
- Managed and deployed hosting services for customers on both Windows and Linux platforms using cPanel and Plesk. Tasks included website deployment, database configuration, troubleshooting, and performance optimization.
- Administered domain services (Vietnamese and international): domain registration, DNS management, and troubleshooting.
- Provisioned and maintained cloud servers and VPS for clients: OS installation and reload, bug fixing, cPanel/DirectAdmin setup and activation, and general server health.
- Set up and maintained dedicated servers (Dell R610, Dell R730, HP Proliant Gen6) at major Vietnamese datacenters (Viettel, VNPT).
- Configured and managed various control panels (DirectAdmin, VestaCP, cPanel) to streamline hosting operations.
- Researched and implemented monitoring systems (Cacti, Zabbix, Nagios, Grafana) to ensure high service availability and rapid incident response.
- Designed and deployed databases for customers, including MongoDB and PostgreSQL, tailored to their business needs.
- Proactively researched and adopted new technologies to continuously improve service quality and operational efficiency.
- Successfully improved website performance and reliability for numerous clients through expert troubleshooting and optimization.
- Enhanced monitoring and alerting capabilities, reducing downtime and improving customer satisfaction.
- Played a key role in scaling hosting and cloud services to meet growing customer demand.
Featured Projects
Azure Landing Zone Implementation
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.
AWS Platform Landing Zone
Designed and deployed comprehensive AWS Landing Zone with multi-account architecture, centralized security controls, and automated compliance monitoring. Implemented AWS Control Tower with custom guardrails and integrated monitoring solutions for enterprise-grade cloud governance.
Get In Touch
I'm always interested in new opportunities and collaborations. Feel free to reach out!