Hire the Best Certified AWS Cloud Engineers

I’m an AWS Certified Solutions Architect – Professional with multiple AWS specialty certifications and hands-on experience designing scalable, secure cloud architectures. I help businesses migrate applications to AWS, improve infrastructure reliability, and implement DevOps best practices. My AWS Certifications: • AWS Certified Solutions Architect – Professional • AWS Certified Security – Specialty • AWS Certified Advanced Networking – Specialty • AWS Certified Solutions Architect – Associate • AWS Certified Cloud Practitioner I can help with: • Cloud migration to AWS • High-availability architecture design • DevOps automation and CI/CD pipelines • Infrastructure security and networking • Application deployment and monitoring I also teach AWS concepts on my YouTube channel(Learn Tech), helping engineers understand real-world AWS architecture and best practices.

As an AWS-certified DevOps and cloud security engineer, I help startups, fintech companies, and AI/ML platforms build secure, compliant, production-grade AWS infrastructure — including the AI infrastructure layer most DevOps engineers haven't touched yet: LLM inference endpoints, RAG pipelines, and GPU-backed compute. With certifications in AWS DevOps Engineer – Professional, AWS Solutions Architect – Professional, AWS Security – Specialty and AWS CloudOps Engineer – Associate, your infrastructure is in capable, currently-certified hands. WHAT I DO BEST AI/ML Infrastructure on AWS I deploy fine-tuned LLM inference endpoints across GPU instance families, build RAG knowledge bases using Amazon Bedrock and pgvector, and stand up Feature Stores for ML pipelines — all on Terraform, all production-grade. If your platform runs AI workloads, I build the infrastructure underneath the model. Enterprise Cloud Foundation & Governance I establish AWS cloud foundations using Control Tower and Landing Zone with automated multi-account environments and security guardrails — Security Hub, GuardDuty, AWS Config, CloudTrail, and SCPs. This significantly eases SOC 2, ISO 27001, and HIPAA audit preparation through automated compliance evidence. Security-First Infrastructure VPC isolation, least-privilege IAM, secrets management, and encryption everywhere. A recent project passed a SOC 2 audit with zero infrastructure findings, built in from day one. Cloud Migrations & Containerization I migrate applications from on-premises and legacy clouds (GCP, Azure) to AWS with zero downtime — deploying to ECS/Fargate, EKS, or traditional EC2, with a focus on cost efficiency and security. Infrastructure as Code Everything is Terraform-based, version-controlled, and reproducible — multi-account Control Tower setups, VPC architectures, IAM policies, all defined as code with peer review. CI/CD & Production Reliability Deployment pipelines (GitHub Actions, GitLab CI, AWS CodePipeline) that cut deployment time from hours to minutes, with automated testing and rollback. Designed for 99.99% uptime through Multi-AZ deployments and auto-scaling. RECENT RESULTS - Architected GCP-to-AWS migration for an AI/ML fintech platform — 5 fine-tuned LLM inference endpoints across GPU instance families, RAG knowledge base on pgvector, full Terraform IaC - Deployed a containerized Spring Boot app on ECS Fargate with Control Tower multi-account setup, Security Hub, GuardDuty, Config, and CloudTrail across dev/staging/prod - Migrated a payment platform to AWS — 99.99% uptime, handled 10x traffic spikes, 40% cost reduction - Delivered enterprise Landing Zone migration framework for 85 applications, 450 VMs, 55 databases - Automated deployments from 2 hours to 15 minutes with improved security posture TECH STACK AWS AI/ML: Amazon Bedrock, Amazon SageMaker, RAG pipelines, pgvector, Feature Store, GPU instances AWS Governance & Security: Control Tower, Organizations, Security Hub, GuardDuty, Config, CloudTrail, IAM, Secrets Manager, KMS, WAF AWS Infrastructure: ECS/Fargate, EC2, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, ALB/NLB, Auto Scaling Containers & Orchestration: Docker, ECS/Fargate, Kubernetes/EKS, ECR Infrastructure as Code: Terraform (5+ years), CloudFormation, AWS CDK CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline/CodeBuild/CodeDeploy Databases: RDS (PostgreSQL, MySQL, SQL Server), DynamoDB, MongoDB/DocumentDB Monitoring: CloudWatch, CloudTrail, VPC Flow Logs, Security Hub, Config Scripting: Python, Bash, Shell WHO I WORK WITH - AI/ML platforms needing production-grade inference and RAG infrastructure - Startups preparing for SOC 2 certification - Fintech companies needing secure infrastructure for financial data - Healthcare/SaaS companies requiring HIPAA-ready environments - Companies migrating from on-premises, GCP, or Azure to AWS - Enterprises needing multi-account AWS governance WHAT MAKES ME DIFFERENT Most DevOps engineers deploy applications. I build enterprise security foundations — and the AI infrastructure layer most of them haven't touched yet. You get: ✓ AI/ML infrastructure built by someone who understands both the model and the cloud underneath it ✓ Security and compliance built in from day one ✓ Automated audit evidence collection ✓ Multi-account governance preventing drift ✓ Clear documentation and knowledge transfer Looking for secure, audit-ready AWS infrastructure — or AI/ML platform infrastructure that actually scales? Let's talk.

"Cut our monthly AWS costs by 61%, from $2,280 down to $817, with zero disruption to production workloads.", — CTO, Fintech Startup 🏆 AWS DevOps Engineer, Senior DevOps, AWS Architect, Cloud Engineer with 6+ years in AWS, Azure, Kubernetes and cloud infrastructure enhancement ✅ ABOUT ME As an Certificate AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer, I bring 6+ years of hands-on experience across AWS, azure and kubernetes environments, moving fluidly between aws devops and azure devops work depending on what the client's stack demands. 39% lower AWS spend, from $2,000 to $800/month, delivered while working as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer for a Fintech SaaS client, where aws devops and devops practices ran side by side across a hybrid AWS and azure stack, backed by tight security & compliance controls and FinOps discipline from day one. 99.9% uptime and 60% faster releases came from building CI/CD and ci/cd pipelines with github actions, plus ci/cd azure workflows, in my role as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer for teams standardizing on Azure DevOps. 25+ kubernetes clusters managed with Docker and docker devops workflows cutting deployment time by 45%, work I take on as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer across both aws and azure devops environments. 12+ production environments hardened for security & compliance, with IAM policies and FinOps cost controls reducing audit findings by 30% on every AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer engagement I run. 18,000+ daily requests routed through ECS/Fargate, with Terraform/CDK and other IaC tools cutting environment provisioning from days to minutes, a core part of how I work as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. 6+ mlops pipelines deployed alongside data engineer teams and a senior full stack developer, cutting model deployment time by 40% using python automation as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. ✅ WHERE I DELIVER On AWS - 20+ cloud infrastructure builds spanning ECS/Fargate, kubernetes and multi-region AWS deployments for SaaS and Fintech platforms, all run with aws devops rigor as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. On Azure - 15+ azure devops pipelines, ci/cd azure workflows and azure cloud engineer projects cutting release cycles by 35%, with github actions and CI/CD tying it all together in my work as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. Across security & compliance - 25+ IAM design and framework projects for regulated industries, backed by devops best practices across aws and DevOps tooling as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. Across Docker and kubernetes - container orchestration and ci/cd pipelines lifting deployment frequency by 3x, whether the client calls it devops, aws devops or azure devops. With python - 12+ automation scripts and mlops integrations, 28% lower operational overhead, often working alongside a full stack developer or senior full stack developer on shared codebases. On infrastructure due diligence - project manager coordination on erpnext frappe deployments before funding rounds as an acquisition manager, where devops and aws hygiene matter as much as the numbers. ✅ INDUSTRY IMPACT Fintech, Payments - 39% AWS cost reduction ($2,000 to $800/month), 99.9% uptime and AWS End User Messaging integration cutting notification latency by 50%, delivered as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer running aws devops and devops practices daily. SaaS, B2B Platforms - multi-region AWS deployments and IaC tools like Terraform/CDK reducing infrastructure drift incidents by 60%, with aws and azure devops kept in sync throughout. AI, MLOps - 6+ mlops pipelines processing 10,000+ daily inference requests with automated CI/CD and ci/cd pipelines, working alongside a data engineer with python scripting the glue between them. Enterprise Cloud Migration - github actions-driven ci/cd azure pipelines migrating legacy workloads with zero downtime, devops throughout, as an AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer. Startups and Scaleups - cloud infrastructure enhancement and erpnext frappe deployments cleaned up before funding rounds as an acquisition manager and project manager, aws and devops working hand in hand. ✅ HOW I BUILD On AWS: aws, aws devops, ECS/Fargate, kubernetes, Docker, docker devops, Terraform/CDK, IAM, FinOps, the core stack behind every AWS DevOps Engineer, Senior DevOps, AWS Architect and Cloud Engineer engagement. On Azure: azure, azure devops, ci/cd azure, github actions, cloud infrastructure enhancement, devops throughout.

Hi! I’m an AWS-certified DevOps Engineer and Solutions Architect helping SaaS companies build, secure, modernize, and scale production systems on AWS. I have 7+ years of backend engineering experience and 5+ years of AWS cloud engineering experience. CERTIFICATIONS * AWS Certified Solutions Architect – Associate * AWS Certified DevOps Engineer – Professional * AWS Certified Solutions Architect – Professional My main advantage is that I understand both AWS infrastructure and backend applications. You do not need to hire separate cloud, DevOps, security, and backend engineers to solve one production problem. WHAT I CAN HELP YOU WITH 1. AWS PLATFORM MODERNIZATION AND GOVERNANCE * AWS Organizations, Control Tower, Landing Zone, SCPs, and IAM Identity Center * Multi-account architecture with separate development, staging, and production environments * ECS, EKS, Lambda, and serverless architecture * Centralized logging, account governance, and platform standards 2. INFRASTRUCTURE AS CODE AND CI/CD * Terraform, CloudFormation, and AWS CDK * Reusable modules and infrastructure migration * Terraform import, state management, and drift remediation * CI/CD implementation and optimization * GitHub Actions, CodePipeline, CodeBuild, and CodeDeploy 3. AWS SECURITY, NETWORKING, AND COMPLIANCE * IAM least-privilege access and security reviews * VPC design, subnets, routing, NAT Gateway, and VPC endpoints * Security groups, network ACLs, segmentation, and private connectivity * Security Hub, GuardDuty, Inspector, AWS Config, CloudTrail, and KMS * Secrets management, encryption, backup, and recovery * Technical remediation for SOC 2, ISO 27001, Vanta, Drata, and Sprinto I provide practical implementation, not only an audit report. 4. AWS FINOPS AND COST OPTIMIZATION * EC2, ECS, EKS, Lambda, and RDS right-sizing * Savings Plans and Reserved Instance planning * NAT Gateway, storage, data transfer, and CloudWatch cost optimization * Cost allocation tags, budgets, and anomaly detection My process is simple: Analyze → Implement → Measure → Monitor 5. FRACTIONAL AWS ENGINEERING, MIGRATION, AND RELIABILITY I can support SaaS teams for 10–20 hours per week with: * AWS architecture and production change reviews * Monitoring, incident investigation, and reliability improvements * Cloud and database migrations * High availability, backup, RTO, RPO, and disaster recovery * Backend and database troubleshooting 6. AWS AI AND MACHINE LEARNING INFRASTRUCTURE * Amazon Bedrock and foundation model integration * Amazon SageMaker AI infrastructure and model deployment * Amazon Textract, Rekognition, Transcribe, Polly, and Comprehend * Secure IAM, private networking, and model access controls * AI workload monitoring, governance, and cost optimization WHY WORK WITH ME I can work across the complete production system: * AWS architecture, networking, security, and Infrastructure as Code * Go, Java, Spring Boot, and APIs * PostgreSQL, Redis, and Elasticsearch * Containers, CI/CD, monitoring, and production troubleshooting You work directly with a senior engineer who can assess the problem, recommend the right solution, implement it, and support it in production.

In the AI era, almost anyone can build software now. People who never wrote code are shipping products on Product Hunt. They hope it sells. Some actually do. But without an engineering background, most of them hit a wall. As the product grows, it must stay online, handle many users, and keep data safe. That wall has a name: DevOps and Security. It dictates if a growing product survives or breaks. And none of AI can do it for you. That wall is where I've spent my career. For five years I ran the systems of a top Vietnamese insurance company. There, "the system is down" is never allowed. Every change is monitored. Every risk is written down. Security is the whole job, not an afterthought. For over ten years, I've kept important systems reliable everywhere. On your own servers, using Kubernetes and OpenStack. And on all three major clouds: AWS, Google Cloud, and Azure. I'm certified in every of them, plus the Golden Kubestronaut. That means every Kubernetes certification that exists. With the teams I help, the results are clear. Updates go out 75% faster. 70% fewer of them fail. New features launch 80% more often. Problems get fixed 70% faster. Recently, I added something new to the belt. I earned all four of Anthropic's Claude certifications, every program they offer. Now I bring the same discipline to AI. For you, that is two strengths in one person. I understand AI, and I know how to run it safely for real customers. Most people have only one of those. You get both. So here are three ways I can help you: 1. You vibe-coded an app, and now it hits the DevOps and security wall. I get you past it. 2. You have a cloud or DevOps project that needs a proven expert. That is my daily work. 3. You want a Claude-powered AI agent system, built safe and reliable by a DevOps pro. Few people can do that. One client said it better than I can: 🗣️ "Thao has been wonderful to work with. Fast, accurate, extremely knowledgable. I asked for design choices and he gave me many options to choose from with trade-offs." Need your systems made rock-solid? Or a Claude AI agent you can trust? Send me a message and let's talk. 🕛 I'm in the UTC+7️⃣ time zone, but work in any time zone. Anthropic CCA-F: Claude Certified Architect Foundations CCA-P: Claude Certified Architect Professional CCAO-F: Claude Certified Associate Foundations CCDV-F: Claude Certified Developer Foundations Golden Kubestronaut CKA: Certified Kubernetes Administrator CKS: Certified Kubernetes Security Specialist CKAD: Certified Kubernetes Application Developer CAPA: Certified Argo Project Associate PCA: Prometheus Certified Associate ICA: Istio Certified Associate OTCA: OpenTelemetry Certified Associate CGOA: Certified GitOps Associate CCA: Cilium Certified Associate KCA: Kyverno Certified Associate CBA: Certified Backstage Associate LFCS: Linux Foundation Certified Systems Administrator AWS Certified Solutions Architect – Professional AWS Certified DevOps Engineer – Professional AWS Certified Security – Specialty AWS Certified Advanced Networking – Specialty Professional Cloud Architect Certification Professional Cloud DevOps Engineer Certification Professional Cloud Network Engineer Certification Professional Cloud Security Engineer Certification Microsoft Certified: DevOps Engineer Expert Proficient with all modern DevOps tools: Terraform, Jenkins, CircleCI, GitlabCI, ArgoCD, Ansible, Vault, SonarQube, Nexus, Jfrog, Kafka, Zookeeper, ELK, Datadog, Grafana, Prometheus, Istio, Cillium, Alert Manager, Checkpoint

Need a DevOps Engineer who can build secure, scalable cloud infrastructure and automate deployments with confidence? I help startups, SaaS companies, and enterprises design, modernize, and manage cloud-native platforms on AWS. From Infrastructure as Code (IaC) and CI/CD automation to Kubernetes, containerized applications, and AI infrastructure, I build reliable systems that improve deployment speed, scalability, and operational efficiency. With 8+ years of experience in Cloud Engineering, DevOps, and Platform Engineering, I deliver production-ready infrastructure that supports business growth while maintaining security, reliability, and cost optimization. Cloud & DevOps Services ✔ AWS Cloud Architecture & Infrastructure ✔ Infrastructure as Code (Terraform) ✔ CI/CD Pipeline Design & Automation ✔ Docker & Kubernetes Deployment ✔ Amazon ECS, ECR & Fargate ✔ AWS Migration & Cloud Modernization ✔ AWS Security, IAM & Secrets Manager ✔ Platform Engineering ✔ Serverless & Cloud-Native Solutions ✔ Disaster Recovery & High Availability ✔ Monitoring, Logging & Observability AI Infrastructure & MLOps ✔ AI Infrastructure Deployment ✔ MLOps & ML Pipeline Automation ✔ Retrieval-Augmented Generation (RAG) Infrastructure ✔ AWS Bedrock Integration ✔ OpenAI, Anthropic & LLM API Integration ✔ Amazon OpenSearch Serverless ✔ AI Agent Infrastructure ✔ Secure Production AI Environments DevOps Tools & Technologies Cloud: AWS, Google Cloud Platform (GCP), Microsoft Azure Infrastructure as Code: Terraform, Ansible Containers: Docker, Kubernetes, Amazon ECS, Amazon ECR CI/CD: GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins Monitoring: Amazon CloudWatch, New Relic, ELK Stack Why Clients Choose Me ✔ AWS Certified DevOps Engineer – Professional ✔ 8+ years of Cloud & DevOps experience ✔ Strong background in Platform Engineering and Cloud Architecture ✔ Expertise in production-ready AI and MLOps infrastructure ✔ Focus on automation, security, scalability, and cost optimization Whether you need to modernize legacy infrastructure, automate deployments, build Kubernetes environments, implement Infrastructure as Code, or deploy AI-powered applications on AWS, I can help you create secure, scalable, and reliable cloud solutions that are ready for production.