🌟 Top Rated Plus | 🌟 5-Star Feedback | 🌟 Top 1% on Upwork Hello! I am an experienced Cloud, DevOps, and Kubernetes Engineer with 8+ years of hands-on experience designing, deploying, securing, and optimizing scalable cloud infrastructure for production applications. I help startups, SaaS companies, and growing engineering teams build reliable, secure, cost-efficient, and highly available infrastructure across AWS, Azure, Google Cloud, and DigitalOcean. ✅ Key Achievements ✔️ Migrated 100+ customers from EC2-based infrastructure to Kubernetes, improving scalability, reliability, and deployment efficiency. ✔️ Designed and deployed production-grade applications for e-commerce, trading, job search, finance, SaaS, and AI-powered platforms. ✔️ Built scalable and highly available infrastructure for React, Node.js, Python, PHP, and containerized applications. ✔️ Implemented secure, automated CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, and Bitbucket Pipelines. ✔️ Provided long-term DevOps support, monitoring, incident response, cost optimization, and production reliability improvements. ✔️ Successfully deployed and managed LiveKit infrastructure on AWS, GCP, and DigitalOcean for real-time audio/video applications. 🏅 Certifications 🏆 AWS Certified Solutions Architect 🏆 AWS Certified Developer Associate 🏆 HashiCorp Certified: Terraform Associate 🛠️ Core Expertise ☁️ Cloud Platforms AWS, Microsoft Azure, Google Cloud Platform, DigitalOcean ☸️ Kubernetes & Containers EKS, AKS, GKE, DigitalOcean Kubernetes, ECS, Docker, Helm, Kubernetes manifests, ingress controllers, autoscaling, service mesh basics, and production cluster operations 🚀 Application Deployment & Scalability React, Node.js, Python, PHP, Laravel, FastAPI, Django, Express.js, Next.js, containerized applications, microservices, monorepos, background workers, queues, and API-based platforms 🌍 Managed Application Platforms AWS ECS, AWS EKS, Azure App Service, Azure AKS, GCP GKE, GCP Cloud Run, DigitalOcean App Platform, DigitalOcean Kubernetes 🎥 LiveKit Infrastructure LiveKit deployment, scaling, TURN/STUN setup, SSL, networking, Kubernetes deployment, cloud deployment, monitoring, and production troubleshooting on AWS, GCP, and DigitalOcean 🔐 Security & Compliance IAM, AWS Organizations, AWS SSO, GuardDuty, Security Hub, KMS, Secrets Manager, WAF, ACM, Cognito, VPC security, least-privilege access, cloud hardening, and secure infrastructure design 💰 Cloud Cost Optimization AWS cost optimization, rightsizing, Savings Plans, Reserved Instances, Spot instances, autoscaling, storage optimization, Kubernetes cost reduction, unused resource cleanup, and cloud billing review 👨‍💻 Infrastructure as Code Terraform, Ansible, CloudFormation, Kubernetes YAML, Helm charts 🔄 CI/CD & Automation GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, Bitbucket Pipelines, automated deployments, rollback strategies, environment-based deployments, and release workflows 📊 Monitoring & Logging CloudWatch, CloudTrail, Prometheus, Grafana, ELK Stack, Datadog, New Relic, alerting, uptime monitoring, log aggregation, and production incident troubleshooting 📝 Scripting & Automation Bash, Python, automation scripts, deployment scripts, infrastructure automation, and operational tooling 📌 Version Control Git, GitHub, GitLab, Bitbucket 🌥️ AWS Services Expertise ✅ Compute: EC2, EKS, ECS, Lambda ✅ Storage & Databases: S3, RDS, Redshift, Neptune ✅ Networking: VPC, API Gateway, Global Accelerator, Load Balancers ✅ CDN & DNS: CloudFront, Route 53 ✅ DevOps: CodeBuild, CodePipeline, CodeDeploy ✅ Security: IAM, AWS SSO, AWS Organizations, Control Tower, GuardDuty, KMS, Cognito, Secrets Manager, Security Hub, WAF, ACM ✅ Monitoring: CloudWatch, CloudTrail ✅ Data & Analytics: Athena, QuickSight, AWS Glue ✅ Integration: API Gateway, Step Functions, EventBridge ✅ AI/ML Services: SageMaker, Amazon Lex, Rekognition, Textract, Transcribe, DevOps Guru 🤔 Why Choose Me? I bring a practical, production-focused approach to DevOps and cloud infrastructure. I do not only deploy applications; I design infrastructure that is secure, scalable, cost-effective, observable, and easy to maintain. Whether you need to migrate to Kubernetes, reduce AWS costs, secure your cloud account, deploy a scalable SaaS platform, set up LiveKit, build CI/CD pipelines, or improve production reliability, I can help you plan and implement the right solution. My focus is always on: ✅ Security ✅ Scalability ✅ High availability ✅ Cost optimization ✅ Automation ✅ Clean documentation ✅ Long-term maintainability Let’s work together to build cloud infrastructure that is reliable, secure, and ready to scale.

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 Security – Specialty, AWS CloudOps Engineer – Associate, and AWS Solutions Architect – Professional (in progress), 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.

I help companies build reliable AWS and Kubernetes infrastructure. Senior DevOps Engineer with 15+ years of infrastructure experience and 5+ years specializing in cloud and DevOps automation. I help companies design, deploy and maintain scalable, secure and highly available infrastructure. My core expertise includes: Cloud Platforms AWS, GCP, Azure, DigitalOcean Infrastructure as Code Terraform, Ansible, Chef, Puppet Containers & Orchestration Docker, Kubernetes CI/CD Jenkins, GitLab CI, GitHub Actions Linux Administration Ubuntu, Debian, CentOS, RedHat Virtualization VMware vSphere, Proxmox, XenServer, KVM, Hyper-V Networking TCP/IP, VLAN, VPN, WAN/LAN, Cisco, MikroTik Web Infrastructure Nginx, Apache, IIS Windows Infrastructure Active Directory, DNS, DHCP, GPO Version Control GitHub, GitLab, Bitbucket, SVN Scripting Bash, Python Backup Solutions Veeam, Acronis I specialize in infrastructure automation, Kubernetes environments, cloud architecture, and building reliable CI/CD pipelines.

I am a Senior DevOps Engineer with 3+ years of hands on experience helping startups and enterprises design, migrate, deploy, and operate secure, scalable, highly available, and cost optimized cloud infrastructure. I specialize in production grade DevOps, Kubernetes deployments, AI ready cloud architecture, MLOps pipelines, and automation driven cloud operations built for real world traffic, reliability, and scale. I have successfully migrated production workloads from traditional virtual machines to Kubernetes, architected cloud environments, and deployed high traffic applications across e commerce, finance, trading, and job platforms. I also support AI agents deployment, machine learning infrastructure, and end to end MLOps workflows for scalable model training and inference. Additionally, I provide 24/7 DevOps support, on call production monitoring, and incident response, ensuring platform stability during peak traffic and critical production releases. 🔥 🔧 How I Can Help You I deliver complete DevOps and Cloud Engineering services including cloud architecture design, AI/ML infrastructure setup, application deployment, and infrastructure automation. I work extensively with Kubernetes, containerized environments using Docker, microservices architecture, and scalable cloud platforms. I design and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, and CircleCI, enabling secure, fast, and zero downtime deployments for both applications and machine learning workloads. I implement Infrastructure as Code using Terraform, CloudFormation, and Ansible, configure monitoring and logging systems, manage cloud cost optimization, and apply SRE best practices to improve system reliability, ML pipeline performance, and production uptime. ⚙️ ☁️ DevOps, Kubernetes, AI & Cloud Expertise Kubernetes, container orchestration, CI/CD automation, Infrastructure as Code, microservices architecture, AI agents infrastructure, MLOps pipelines, model deployment, observability, security hardening, and scalable production grade cloud environments. 🏅 Certifications Certified Kubernetes Administrator (CKA) AWS Certified Solutions Architect ✅ Why Clients Choose Me Production first DevOps mindset Strong expertise in Kubernetes and container orchestration Deep understanding of AI infrastructure and MLOps engineering Clear communication and strong documentation Security, scalability, and cost efficiency driven approach Reliable long term DevOps and Cloud Engineering partner If you are looking for a DevOps Engineer, Kubernetes expert, Cloud Engineer, or AI/MLOps specialist to manage production infrastructure, deploy AI agents, optimize cloud systems, and scale confidently, let’s connect and discuss your project. 🤝

Hey, I'm an 𝐀𝐖𝐒 𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with proven experience helping startups and growing businesses build secure, scalable, and automated cloud infrastructure. 🏆 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 ⭐ 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 💰 $𝟳𝟬𝗞+ 𝗘𝗮𝗿𝗻𝗲𝗱 ✅ 𝟴𝟬+ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 I help startups and growing teams: ✔ Cut AWS costs without sacrificing performance ✔ Automate CI/CD pipelines for faster, safer releases ✔ Build Infrastructure as Code with Terraform ✔ Deploy and stabilize Kubernetes (Amazon EKS) ✔ Harden Linux servers and cloud security ✔ Migrate to AWS with minimal downtime Real example: One SaaS client went from $8K/month to ~$5K/month in AWS spend, while cutting deploy time from 40 minutes to 15 — no infrastructure rebuild required. ━━━━━━━━━━━━━━━━━━━━ 🛠 𝗖𝗟𝗢𝗨𝗗 & 𝗗𝗘𝗩𝗢𝗣𝗦 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 ━━━━━━━━━━━━━━━━━━━━ ☁️ 𝐀𝐖𝐒 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 EC2, EKS, ECS, RDS, S3, VPC, IAM, Route 53, Load Balancers, Auto Scaling, CloudWatch, High Availability, Multi-AZ Architectures. 🚀 𝐂𝐈/𝐂𝐃 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 GitHub Actions, Jenkins, AWS CodePipeline, automated deployments, blue/green deployments, zero-downtime releases, deployment optimization. 🧩 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 Terraform, CloudFormation, reusable infrastructure modules, infrastructure automation, scalable environments. ☸️ 𝐃𝐨𝐜𝐤𝐞𝐫 & 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 Docker containerization, Amazon EKS, Kubernetes workloads, cluster optimization, rolling updates, production deployments. 💰 𝐀𝐖𝐒 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 EC2 rightsizing, Reserved Instances, Spot Instances, EKS optimization, storage optimization, autoscaling, cost analysis, FinOps best practices. 🔒 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 IAM best practices, security groups, least-privilege access, server hardening, infrastructure security, production best practices. ⚡ 𝐋𝐢𝐧𝐮𝐱 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Ubuntu, Linux administration, NGINX, Apache, shell scripting, troubleshooting, performance tuning, production server optimization. 🔄 Cloud Migration & Modernization AWS migration, infrastructure modernization, lift-and-shift, application migration, cloud architecture improvements. ━━━━━━━━━━━━━━━━━━━━ 🛠 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━ ☁️ 𝐂𝐥𝐨𝐮𝐝: AWS 🟧 𝐀𝐖𝐒 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: EC2, EKS, ECS, RDS, S3, IAM, VPC, Route 53, ELB, Auto Scaling, CloudWatch, CodePipeline 🧩 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞: Terraform, CloudFormation 🚀 𝐂𝐈/𝐂𝐃: GitHub Actions, Jenkins, AWS CodePipeline 📦 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬: Docker, Kubernetes (Amazon EKS) 🐧 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Ubuntu Linux ⚙️ 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Bash 🔧 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Git, GitHub ━━━━━━━━━━━━━━━━━━━━ 🌟 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗛𝗜𝗥𝗘 𝗠𝗘 ━━━━━━━━━━━━━━━━━━━━ ✔ Top Rated Plus with 100% Job Success ✔ Business-focused solutions — not just infrastructure setup ✔ Clear communication and fast response times ✔ Production-ready, secure, and scalable architecture ✔ Long-term support after project completion ✔ Clean Terraform code and maintainable infrastructure ✔ Reliable CI/CD pipelines that reduce deployment risk ━━━━━━━━━━━━━━━━━━━━ 💬 𝗪𝗛𝗔𝗧 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗦𝗔𝗬 ━━━━━━━━━━━━━━━━━━━━ ⭐ "Knowledgeable, dedicated, and always willing to go the extra mile." ⭐ "Quickly executed the work and it was flawless." ⭐ "Hard-working, proactive, and knows exactly what he's doing." ━━━━━━━━━━━━━━━━━━━━ 📩 𝗟𝗘𝗧'𝗦 𝗪𝗢𝗥𝗞 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥 ━━━━━━━━━━━━━━━━━━━━ Whether you need to reduce AWS costs, automate deployments, migrate to AWS, improve Kubernetes reliability, or build production-ready cloud infrastructure, I'd be happy to help. Send me a message with your AWS challenge, and I'll recommend the most practical solution. 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: AWS DevOps Engineer, DevOps Engineer, AWS Cloud Engineer, Terraform, Infrastructure as Code, Amazon EKS, Kubernetes, Docker, GitHub Actions, Jenkins, CI/CD Pipeline, AWS Cost Optimization, AWS Migration, Cloud Infrastructure, Linux Administration, Ubuntu, AWS Security, Amazon EC2, Amazon ECS, Amazon RDS, Amazon S3, Auto Scaling, Cloud Architecture, Production Infrastructure, Site Reliability Engineering (SRE), Infrastructure Automation.

𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝘄𝗵𝗼 𝗿𝗲𝗱𝘂𝗰𝗲𝘀 ☁️ 𝗰𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁𝘀 𝗯𝘆 💵 𝟴𝟬%+ 𝘄𝗵𝗶𝗹𝗲 𝗶𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 I help companies optimize their multi-cloud infrastructure, automate deployments, and eliminate wasteful spending. Recent win: Saved a client $2,217/year through database optimization - with zero downtime. 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗜'𝗩𝗘 𝗪𝗢𝗥𝗞𝗘𝗗 𝗪𝗜𝗧𝗛 💊 𝗠𝗲𝗱𝗜𝗺𝗽𝗮𝗰𝘁 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | ✈️ 𝗤𝗮𝘁𝗮𝗿 𝗔𝗶𝗿𝘄𝗮𝘆𝘀 | Pure IT Universe | Eagle Eye Software 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗟𝗜𝗩𝗘𝗥 🔸 Cloud Cost Optimization (AWS, Azure, Alibaba) Proven 80%+ cost reductions through strategic resource right-sizing and database optimization 🔸 Infrastructure as Code (Terraform, Azure Bicep) Automated deployments reducing provisioning time by 50%+ 🔸 Cloud Migration & Multi-Cloud Strategy Successfully migrated Azure → Alibaba Cloud with 98% uptime maintained 🔸 CI/CD Pipeline Implementation (Jenkins, GitHub Actions) Automated workflows reduce deployment errors by 50% 🔸 Container Orchestration (Docker, Kubernetes) Scalable containerized applications across multiple cloud platforms 𝗣𝗥𝗢𝗩𝗘𝗡 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 ✔️ 𝗥𝗲𝗱𝘂𝗰𝗲𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗰𝗼𝘀𝘁𝘀 𝗯𝘆 𝟴𝟭.𝟴% ($𝟮𝟮𝟲 → $𝟰𝟭/𝗺𝗼𝗻𝘁𝗵) 𝗳𝗼𝗿 𝗘𝗮𝗴𝗹𝗲 𝗘𝘆𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 ✔️ Cut Azure deployment time by 50% using Terraform automation ✔️ Achieved 98% availability during Azure to Alibaba Cloud migration ✔️ Improved query performance by 30% through optimization 📌 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 📌 🔶 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 » GitHub » GitHub Actions » Bash » Docker » Kubernetes » Linux » Ansible » CI/CD » Jenkins » OpenTelemetry » Nginx » Terraform » Helm » SonarQube » Trivy » AWS (EC2, Lambda, ECS, RDS, Route 53, EBS, EKS, WAF, CloudWatch) » Azure (VMs, DevOps, SQL Database, Blob Storage, AKS, Databricks) » Alibaba (ECS, OSS, Apsara DB, Log Service, ACK, ACR) 🔶𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 » MySQL » SQL Server » Firebase » PostgreSQL 🔶𝗖𝗹𝗼𝘂𝗱𝘀 » AWS » Azure » Alibaba » GCP 💡 𝗪𝗛𝗬 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗘 💡 I don't just implement technology. I find what's costing you money, fix it, and make sure it doesn't come back. Every engagement ends with full documentation and knowledge transfer, so your team is never dependent on me after the project closes. If your cloud bill is climbing, your deployments are slow, or you need someone who can own your infrastructure end to end, message me, and I'll tell you within 24 hours whether I can help and what I would do first. 📧 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝗼𝗿 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝗼𝗻𝗴𝗼𝗶𝗻𝗴 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻.

Are your deployments slow, breaking at the worst moments, or costing more than they should? Is your team spending hours on manual releases instead of shipping features? If your CI/CD pipelines are fragile, your Azure infrastructure is growing out of control, or your DevOps processes exist only on paper, you are dealing with a problem that will not fix itself. I am a DevOps Engineer and Azure Architect with 10+ years of experience helping product teams and growing companies build cloud infrastructure that actually works. Whether it is a startup scaling fast or an enterprise team drowning in legacy pipelines, I come in, assess the real state of things, and build systems that are stable, automated, and cost-efficient. My primary expertise is Microsoft Azure and Azure DevOps, end to end. That means everything from designing multi-stage Azure DevOps pipelines and managing releases without downtime, to setting up Azure DevOps RBAC, securing environments, and integrating Azure DevOps with Kubernetes clusters running on AKS. I have built Azure DevOps workflows for teams of 5 and teams of 150, and the approach scales both ways. Every Azure DevOps implementation I deliver is built around real business goals, not just tooling checkboxes. Beyond Azure DevOps, I work across the full infrastructure stack. I design Cloud Architecture using Terraform for Infrastructure as Code, manage containerized workloads with Kubernetes and Docker, and implement Deployment Automation that removes human error from the release process. For data-heavy projects, I build pipelines with Azure Data Factory to handle ETL, orchestration, and integration between services. For teams building decentralized or blockchain-integrated solutions, I have worked with Azure Blockchain Service as part of broader Microsoft Azure infrastructure setups, combining it with the same security and governance standards applied across all environments. As an Azure Architect, I cover Cloud Computing governance, cost optimization, and FinOps practices, so your Azure bill reflects actual usage, not waste. I apply the same structured thinking to Network Security, Linux and Windows Server environments, and multi-cloud setups when needed. When projects require Amazon Web Services, I bring the same DevOps standards to AWS, including AWS DevOps pipelines, CI/CD automation, and infrastructure managed through Terraform. I also work with Google Cloud Platform for teams running workloads across multiple providers. AI Automation is a growing part of what I do. As more teams start integrating AI into their products and workflows, I help them connect those AI components to production infrastructure properly, with reliable pipelines, automated testing, and deployment flows that treat AI workloads the same way as any other service. I also collaborate closely with full stack developer teams to improve release processes, deployment reliability, and infrastructure scalability, making sure the gap between development and operations is as small as possible. What clients usually need help with: ✔ Stabilizing Azure DevOps pipelines and deployment workflows ✔ Building scalable Kubernetes infrastructure ✔ Migrating legacy infrastructure to Microsoft Azure ✔ Reducing cloud costs and improving DevOps efficiency ✔ Designing secure Cloud Architecture for growing products ✔ Automating deployments with Terraform and CI/CD ✔ Improving monitoring, security, and infrastructure reliability ✔ Implementing AI Automation into existing delivery workflows The full technology range I work with includes: Azure DevOps, Microsoft Azure, Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, Terraform, Ansible, CI/CD, Git, SQL, Python, Linux, Windows Server, Azure Data Factory, Azure Blockchain Service, Cloud Architecture, Deployment Automation, Network Security, and more. Certifications: ✅ 7x Microsoft Azure Certified ✅ Kubernetes Certified ✅ Terraform Certified If your infrastructure needs structure, your pipelines need reliability, or your cloud costs are climbing without clear control, send me a message here on Upwork. Describe the situation and I will come back with a clear breakdown and concrete next steps.

Resilient, observable infrastructure designed to scale with your business. Six years of GCP, Kubernetes, and SRE expertise reducing downtime, cutting cloud costs, and eliminating deployment risk. ● 6+ years of hands-on experience as a DevOps & Cloud Engineer specializing in Google Cloud Platform (GCP), Kubernetes orchestration, and SRE practices. ● Expertise in Infrastructure as Code (IaC) using Terraform and Ansible for automated, scalable, and resilient cloud architectures. ● Strong proficiency in Kubernetes (GKE & EKS), including cluster optimization, autoscaling, service mesh, and workload management. ● Advanced CI/CD automation skills using Jenkins, GitHub Actions, and GitLab CI for zero-downtime deployments. ● Deep Linux systems expertise with advanced shell scripting (Bash) and Python for system hardening and performance optimization. ● Specialized in Observability using Prometheus, Grafana, ELK, and Stackdriver to reduce incidents and monitor SLAs. ● Proven track record in designing secure, HIPAA-compliant, and multi-tenant SaaS infrastructures. KEY RESPONSIBILITIES 1. Cloud Architecture & Infrastructure as Code (IaC) ● Architected and deployed scalable GCP environments using Compute Engine, GKE, Cloud Storage, and VPC. ● Automated end-to-end infrastructure provisioning using Terraform modules for VPC, Cloud NAT, IAM, and Cloud SQL. ● Implemented configuration management via Ansible to ensure environment standardization and reduce operational overhead. 2. Kubernetes Orchestration & Containerization ● Designed and managed GKE-based microservices with node pool optimization and secure service communication. ● Hardened Kubernetes security using RBAC policies, network policies, and private clusters. ● Streamlined application packaging and deployment using Docker and Helm-based charts. 3. CI/CD Pipeline Engineering ● Engineered robust CI/CD pipelines in GitHub Actions, Jenkins, and GitLab CI for container builds and automated testing. ● Implemented advanced deployment strategies, including Canary, Blue-Green, and Rolling updates, improving system uptime by 35%. ● Integrated automated rollback mechanisms and artifact versioning to ensure delivery pipeline reliability. 4. SRE, Monitoring & Observability ● Built comprehensive observability frameworks using Prometheus, Grafana, and Stackdriver for real-time metrics and alerting. ● Integrated SLO-based alerting and error budgets into incident workflows to improve service reliability. ● Optimized system performance by automating failover, pod disruption budgets, and resilient service deployments. 5. Security, Compliance & Networking ● Ensured data protection and compliance (including HIPAA) using KMS encryption, IAM least-privilege, and audit logging. ● Secured cloud networks using VPC Service Controls, ingress/egress firewalls, and IAM conditions. ● Managed identity and access through IAM and RBAC to enforce strict tenant isolation in multi-tenant SaaS platforms. 6. Event-Driven & Serverless Solutions ● Designed high-performance event-driven workflows using Pub/Sub, Cloud Functions, and EventArc, achieving up to 60% latency reduction. ● Integrated Cloud Run for serverless execution and cost-effective scaling of background processes.

I help startups and engineering teams build reliable, scalable, and automated cloud platforms with a strong focus on performance, observability, CI/CD, and cost optimisation. Experience includes: • Kubernetes & container platforms • AWS infrastructure & networking • Terraform & Infrastructure as Code • CI/CD pipelines (GitHub Actions, Azure DevOps) • Monitoring & logging (Prometheus, Grafana, ELK) • Production support & reliability engineering I focus on delivering clean, maintainable solutions that are production-ready and easy to operate long term.

🚀 DevOps Engineer | ☁️ AWS Solutions Architect & Developer • 🏗️ Terraform • 🔄 CI/CD • 🐍 Python I’m a DevOps Engineer who enjoys building reliable and scalable systems in the cloud, mainly using ☁️ AWS, 🏗️ Terraform, 🔄 GitHub Actions, and 🐍 Python. Over the past projects I’ve worked on — including 150+ hours on Upwork — I’ve helped clients automate their infrastructure, simplify deployments, and make their systems easier to manage. My goal is always to deliver solutions that are clean, practical, and built to last — not just something that “works once.” ⚡ 🛠️ What I work with: 🏗️ Infrastructure as Code using Terraform ☁️ AWS services (Lambda, S3, EC2, Aurora, DynamoDB, API Gateway, Step Functions,etc) 🔄 CI/CD pipelines with GitHub Actions 🐍 Automation & scripting with Python I also come from a backend background (.NET / C#), which helps me understand the full picture — from application code 💻 to infrastructure 🌐 — and build solutions that actually fit real development workflows. 🤝 What you can expect: 💬 Clear communication & regular updates 🧼 Clean, maintainable infrastructure 📈 Scalable and cost-aware solutions If you need help setting up your cloud infrastructure, automating your workflows, or improving your DevOps processes — feel free to reach out. I’d be happy to collaborate! 🚀