I am a Cloud & DevOps Engineer with 5+ years of experience in building and managing scalable, secure, and automated infrastructures across AWS, GCP, Azure, and Proxmox. My expertise lies in container orchestration, CI/CD automation, cloud-native development, and infrastructure-as-code, helping organizations achieve faster delivery and improved reliability.

I’m a Microsoft Certified DevOps and Cloud Consultant with 10+ years of experience designing scalable, secure, and automated infrastructure. I help businesses reduce deployment time, cut cloud costs, and improve system reliability through proven DevOps practices. I’ve delivered cloud-native solutions for fintech, healthtech, SaaS, and enterprise clients. ✅ Key Services I Offer: – Infrastructure as Code (Terraform, CloudFormation, Pulumi) – CI/CD pipeline setup & optimization (GitHub Actions, Jenkins, GitLab CI/CD, Azure DevOps) – Cloud infrastructure consulting & migration (AWS, Azure, Hybrid) – Containerization & orchestration (Docker, Kubernetes, Helm) – Security hardening & compliance (IAM, firewalls, key vaults, least-privilege design) – Monitoring, logging & alerting (Prometheus, Grafana, ELK, CloudWatch) – Disaster recovery, backup planning, and high availability setups – Cost optimization & right-sizing cloud resources – DevOps process audits & automation consulting – Documentation and DevOps knowledge base creation ⚙️ Tech Stack: – Cloud: AWS (EC2, EKS, S3, IAM, RDS, Lambda), Azure (AKS, VMs, App Services, Key Vault) – IaC: Terraform, CloudFormation, Pulumi – CI/CD: GitHub Actions, Jenkins, GitLab CI, Azure DevOps – Containers: Docker, Kubernetes, Helm, ECR, AKS/EKS – Automation: Bash, Python, PowerShell – Monitoring: Prometheus, Grafana, ELK Stack, Datadog, CloudWatch – Source Control: Git, GitHub, GitLab, Bitbucket 👨‍💼 Industries I’ve Worked With: – FinTech & InsurTech (secure, compliant DevOps pipelines) – HealthTech (scalable, HIPAA-aware cloud setups) – SaaS & startups (greenfield DevOps, MVP to scale transitions) – Enterprise systems & EdTech 📈 What You Can Expect: – Shorter development cycles via robust CI/CD – Secure infrastructure with cost control built in – Hands-on delivery with clean, maintainable automation – Clear communication, full documentation, and proactive support 🤝 Let’s Work Together If you're dealing with scaling issues, legacy deployments, or pipeline delays — let’s simplify and solve it. I build systems that grow with your business.

❌ Sorry, I don’t take small fixes or quick, one-time setups. ✅ I focus on long-term engagements, solving advanced DevOps challenges & delivering real business results, covering US, European & Australian timezones. My standard rate is $65 With 15+ years in Dev Ops, AWS DevOps & Azure DevOps, aws kubernetes, aws docker, I have designed architectures supporting 10,000+ concurrent users, reducing operational costs by 40% through automation. My 12+ years of expertise as a Senior DevOps Engineer in Kubernetes (DevOps Kubernetes / DevOps K8s), Terraform & CI/CD has enabled the deployment of 5,000+ containers daily, optimizing cloud workflows for enterprises managing petabytes of data across multi-cloud environments, including Application Release Automation, Deployment Automation & System Automation. 🌟 Certified Kubernetes Administrator (CKA) & AWS Certified Solutions Architect 💻 Proficient in DevOps Tools: AWS DevOps, Azure DevOps, Kubernetes, Docker, Jenkins, Terraform, GitLab CI/CD, AWS Glue, Sensu & Automated Monitoring. — Automated 90% of deployments with Jenkins, built 50+ apps using JavaScript & managed 100K+ daily requests on AWS, cutting costs by 30%. — Designed 100+ CI/CD pipelines, boosting delivery speed by 70% & optimized 200+ backend apps with Node.js. — Containerized 300+ apps using Docker, reducing provisioning time by 60% & provisioned 100+ environments with Terraform, cutting setup time by 80%. — Managed GCP with 500+ nodes, ensuring 99.99% uptime & improved efficiency by 70% with DevOps practices. — Optimized resource use by 40% with k8s, developed 20+ interactive apps using React, & automated 50+ microservices. — Led 50+ projects as a DevOps Engineer, automated 60% of tasks with Python, & ensured 99.99% uptime with Linux, Ubuntu, & CentOS — Managed 100+ projects with Git & automated 200+ configurations with Ansible. I specialize in aws dev ops & azure dev ops terraform workflows, enabling businesses to achieve high-performance, scalable, & secure deployments. My expertise includes automation with tools like Terraform for K8s infrastructure & devops amazon web services cloud environments, as well as advanced ci/cd processes for seamless integration & delivery, including Infrastructure Management & AlOps. With Kubernetes DevOps, I deploy containerized applications across platforms like AWS EKS, Azure AKS & GCP GKE. I also design efficient ci cd pipelines using tools such as Jenkins, GitLab CI/CD & GitHub Actions, ensuring reliable deployment with minimal downtime. In addition to infrastructure automation, I bring expertise in workflow automation, QA automation, & ML deployment. Core Competencies: As a Senior DevOps Engineer, devops Consultant, & CTO, I deliver innovative, scalable & efficient solutions for complex business challenges. ☁️ Cloud Infrastructure Design: Expertise in building robust architectures with aws devops engineer, azure devops engineer & gcp devops, integrating services like AWS RDS, AWS Big Data, AWS Cognito, & Google Cloud Platform. 🚀 CI/CD Pipelines: Proven experience designing & optimizing dev ops CI/CD workflows, including AWS CI/CD, Azure DevOps CI/CD, GitLab CI/CD, & advanced CICD pipelines. 📦 Container Orchestration: Advanced knowledge of Kubernetes devOps & Azure Kubernetes for managing scalable, secure & automated environments. 🤝 Automation Engineering: Proficient in tools like Terraform, Ansible & scripting with Python aws developer to automate workflows & infrastructure provisioning. 📊 Monitoring & Observability: Expertise in setting up monitoring tools like Sensu, Prometheus, Grafana, ELK & CloudWatch to ensure Automated Monitoring, real-time insights & performance tracking. 🔒 Security & Compliance: Skilled at implementing secure & compliant cicd pipelines, including DevOps Docker CI/CD, to protect sensitive data & ensure regulatory adherence. 🤖 Machine Learning Deployment: Hands-on experience deploying AI/ML models on AWS Lambda, GCP Terraform & Azure Machine Learning platforms. Services Offered: – Cloud architecture design & implementation on AWS Architect, Azure & GCP – CI/CD pipeline creation & optimization, including AWS CI/CD & Azure DevOps CI/CD – Infrastructure automation using Terraform, Ansible & devops kubernetes – End-to-end deployment solutions, including AWS deployment, Kubernetes Terraform & Azure DevOps automation – Secure microservices architecture migration, leveraging Docker & AWS Kubernetes – Workflow automation & QA process optimization for faster delivery cycles – Real-time monitoring & logging integration using Prometheus, Grafana & ELK stack – Support for Python AWS development, AWS RDS & AWS DynamoDB for database management ⭐⭐⭐⭐⭐ Client Testimonial: "We have been able to scale their platform by 300%, which has enabled them to onboard many customers. The team has done a remarkable job, they go beyond their duty & manage the project seamlessly." Let's connect & create a value-driven plan for your next project 👉🏻

I build, secure, and scale production-ready cloud architecture that cuts infrastructure costs and deployment times, backed by 9+ years of enterprise experience. As a Senior DevOps & DevSecOps Engineer and former Deloitte tech lead, I don't just spin up environments. I architect resilient, zero-trust, production-grade cloud infrastructures engineered for massive scale and strict security audits. If your current infrastructure is manual, fragile, or bleeding money, I can step in to automate and stabilize it. High-Impact Results I Deliver: • Optimized complex environments to slash AWS infrastructure costs by 40% while maintaining maximum performance SLAs. • Streamlined deployment pipelines to accelerate delivery cycles and cut deployment duration by 40%. • Integrated advanced automated tooling (SAST/DAST/SCA) directly into pipelines to hit 95% vulnerability detection coverage. Core Bottlenecks I Solve For You: ▸ Fix Broken Pipelines: Repair failing CI/CD infrastructure and speed up lagging release tracks. ▸ Production Kubernetes: Design, deploy, and debug rock-solid cluster environments (EKS, AKS, GKE). ▸ Automate via Code: Eliminate manual human errors by building clean, dry, maintainable Terraform and Terragrunt configurations. ▸ Security & Secrets Hardening: Implement zero-trust access, secure secrets management (HashiCorp Vault), and prepare systems for strict compliance (ISO 27001, PCI-DSS, HIPAA). Deep Technical Toolbox: ◦ Cloud Platforms: AWS (Advanced) , Azure , GCP. ◦ Containers & Orchestration: Kubernetes (CKA Certified) , Docker , Helm. ◦ Infrastructure as Code (IaC): Terraform , Terragrunt , Ansible. ◦ CI/CD & GitOps: GitLab CI , GitHub Actions, Jenkins , Azure DevOps , Argo CD. ◦ DevSecOps & Secrets: SonarQube , Snyk , PrismaCloud , HashiCorp Vault. ◦ Observability: Prometheus , Grafana , ELK Stack , Datadog. Why Clients Hire Me: ✦ Production-First Mindset: Everything is built cleanly with real-world traffic, high availability, and security in mind. ✦ Elite Certifications: Credentialed as an AWS Certified DevOps Professional , Azure DevOps Engineer Expert , and Google Cloud Professional DevOps Engineer. ✦ Fast Execution: Based out of Dubai (UAE Golden Visa Holder) , operating on flexible hours to fully support global team schedules. Let's build a secure, scalable system together. Click the "Message" or "Invite to Job" button, share your current infrastructure pain points, and I'll outline a clear technical approach for you.

Need secure, scalable cloud infrastructure or a high-performing web application? I can help. I am a Top Rated Azure DevOps Engineer and Full-Stack Developer with over 3,000 hours of enterprise-level experience. I specialize in helping businesses automate their deployments, reduce cloud costs, and build reliable, scalable applications from the ground up. How I can help your business: Cloud & DevOps: Azure administration, CI/CD pipeline automation, and container orchestration to ensure your apps run smoothly 24/7. Full-Stack Development: Building modern, responsive web apps using Next.js, TypeScript, and robust Python backends. Data Engineering: Managing big data clusters, disaster recovery strategies, and data source integrations. Core Technologies: AWS (EC2, EKS), Azure Cloud, Docker, Kubernetes (Helm), Terraform, Python, Next.js, and Hadoop/HDP. Whether you need to fix a broken deployment pipeline, migrate to the cloud, or build a scalable web app from scratch, let's talk. Send me a message and we can discuss your project's technical needs!

If your infrastructure is slowing down your team — deployments take too long, environments drift, or your cloud costs keep climbing — I can fix that. I'm a Senior DevOps Engineer with 10 years of experience, specializing in AWS and Azure infrastructure with Kubernetes, Terraform, and CI/CD pipelines. I've worked with large-scale e-commerce platforms handling millions of users, and for the past year I've been consulting for European clients remotely from Lisbon. What I deliver: Production-grade Kubernetes clusters (EKS, AKS) — deployed, secured, monitored Terraform IaC from scratch or migrating existing infra CI/CD pipelines that actually work (Azure DevOps, GitHub Actions, Jenkins) Cost optimization and observability (Prometheus, Grafana, Loki) CKA & CKAD certified. 100% Job Success. I respond fast and communicate clearly throughout the project. Let's talk about your infrastructure.

Hi there, I design and build scalable cloud-native platforms. • AWS DevOps Professional Certified • Proficient in EC2, ECS, EKS, Terraform, and CI/CD automation My Platform Engineering Services: • Infrastructure as Code (Terraform, Ansible) • Kubernetes (EKS, GKE) • Containers & Orchestration (ECS, Fargate, Docker) • Observability (Prometheus, Grafana, OpenTelemetry) • Cost Optimization & Auto Scaling • Secure CI/CD Pipelines (GitHub Actions, CodePipeline) • AWS (VPC, IAM, RDS, S3, CloudFront, ACM, Route 53) • GCP, DigitalOcean, Vercel migrations • Secrets Management (SSM, Secrets Manager, Vault)

I'm a passionate DevOps engineer from Vietnam 🇻🇳 who helps businesses build resilient, scalable systems that drive growth and competitive advantage. What I Deliver: - AI Integration That Works - Custom MCP (Model Context Protocol) servers, seamless LLM integration, and intelligent automation that actually improves your bottom line - Bulletproof Infrastructure - High-availability systems that handle traffic spikes and scale automatically - Data Pipelines That Perform - AWS-based ETL/ELT solutions that turn your data into actionable - Technical Project Manager leading a team to build an e-commerce website while ensuring SLO/SLA compliance, and Platform Engineering Lead responsible for building a platform engineering culture. --- 🎯 Core Solutions I Provide 🧠 AI & Intelligent Automation • MCP Development & AI Agent Integration • N8N Integration • OpenClaw Integration 📊 AWS Data Engineering • Real-time streaming analytics & data quality monitoring ☁️ DevOps & Infrastructure • Kubernetes, Docker containerization • Terraform, AWS CDK infrastructure as code • CI/CD with ArgoCD, GitHub Actions, GitLab • Monitoring with Grafana, Prometheus, ELK stack ⚡ High-Performance Systems • Microservices architecture & API development • Load balancing with Nginx, Traefik • Database optimization (PostgreSQL, MongoDB, Redis) • Serverless computing with AWS Lambda --- 🛠️ Technical Expertise Languages: Python (FastAPI), JavaScript (NestJS), Go, TypeScript Cloud: AWS (Solutions Architect level), multi-cloud strategies Automation: Ansible, Python scripting, N8N, OpenClaw Databases: PostgreSQL, MySQL, MongoDB, Redis --- 🇻🇳 Bonus: Planning a trip to Vietnam? I'll create a personalized travel itinerary showcasing Vietnam's stunning beaches, vibrant cities, and hidden gems - completely free! It's my way of sharing my beautiful country with the world. --- Ready to build something extraordinary together?

DevOps Engineer | Building Secure, Scalable & Cost-Optimized Cloud Foundations I deliver more than just DevOps services - I provide long-term strategic partnerships that transform your cloud infrastructure into a secure, automated, and efficient asset. With 20+ years in IT and 14 years dedicated to DevOps, my team and I have successfully delivered hundreds of projects. We specialize in building robust, future-proof environments using AWS, Azure, GCP, and Kubernetes, fully automated with Terraform, CI/CD pipelines, and Infrastructure as Code. Why clients choose to work with us: ✅ Reduced Risk. ✅ A Team, Not a Freelancer. Projects are backed by a dedicated team, ensuring proactive management, with availability to 24/7 coverage, and deep expertise at every stage. ✅ Focus on Your Business. We handle the complex infrastructure so you can focus on product development and growth. Our solutions prioritize security, cost optimization, and high availability. ✅ Seamless Collaboration. Clear communication and structured project execution are fundamental to our workflow. My core expertise includes: ⭐ Cloud: AWS, Azure, GCP ⭐ Orchestration and Containers: Docker, Kubernetes ⭐ Automation: Terraform, Ansible, Python, Node.js, JavaScript ⭐ CI/CD: Jenkins, GitLab CI, GitHub Actions, Deployment Automation, CI/CD Pipelines ⭐ Monitoring, Security and Scripting: Linux (Ubuntu/CentOS), Bash, Networking Send me a message - let’s build, optimize, and scale your cloud infrastructure 🚀

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases in 3-5 days. I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients. I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems. 💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline. 🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments. 👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data. 🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems. ⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments. I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place. 🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure. 📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod