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🚀 Cloud & DevOps Engineer | AWS | Kubernetes | Terraform | AI/ML | Amazon Engineer ✅ AWS & DevOps Engineer at Amazon ✅ Kubernetes & Terraform Specialist ✅ AI/ML Infrastructure (SageMaker, Bedrock) ✅ 99%+ Uptime | 35% Faster Deployments | 20% Cost Reduction Hi, I’m Abed, a Cloud & DevOps Engineer currently working at Amazon, where I troubleshoot and optimize AWS Big Data and AI/ML services including SageMaker and Bedrock. I don’t just build infrastructure — I design scalable, cost-optimized, production-grade cloud systems that are secure, automated, and reliable. If you're building a SaaS product, AI platform, startup MVP, or scaling an enterprise system — I can architect and automate your infrastructure the right way. 💼 What I Do Best ☁️ AWS Cloud Architecture I design and implement secure, scalable, and cost-efficient cloud architectures on AWS using services like EC2, S3, IAM, and VPC. I specialize in building production-grade Kubernetes environments with Amazon EKS, implementing fully automated CI/CD workflows using CodeBuild, CodeDeploy, and CodePipeline, and streamlining operations through AWS Lambda automation. My approach focuses on performance optimization, security best practices, high availability, and intelligent cost-reduction strategies, ensuring your infrastructure is reliable, resilient, and future-ready. 🤖 AI/ML Cloud Infrastructure I build and optimize AI/ML-ready cloud infrastructure on AWS, including Amazon SageMaker environment setup, model training optimization, and production deployment workflows. I also support Amazon Bedrock integrations to enable scalable generative AI solutions. By automating machine learning pipelines and high-performance data processing architectures, I ensure your AI systems are scalable, efficient, and production-ready with minimal operational overhead. ⚙️ DevOps & Automation I implement Infrastructure as Code (IaC) using Terraform, creating repeatable, scalable, and version-controlled environments. With hands-on experience managing 100+ Linux environments using Ansible, I ensure configuration consistency and operational stability. I design and maintain high-performance CI/CD pipelines using Jenkins, GitHub Actions, and AWS DevOps tools, enabling faster, safer, and zero-downtime deployments. My expertise in Docker containerization, Kubernetes cluster management, and GitOps practices with ArgoCD ensures efficient orchestration, scalability, and seamless release cycles. 📊 Monitoring & Reliability I build proactive monitoring and observability systems using Prometheus, Grafana, ELK Stack, and AWS CloudWatch, ensuring complete system visibility. My focus is on achieving 99%+ uptime through performance monitoring, intelligent alerting, and incident reduction strategies. By applying Site Reliability Engineering (SRE) principles, I design infrastructure that minimizes downtime, improves response time, and ensures stable, high-performing production environments. 🏆 Proven Impact ✔ Reduced AWS storage costs by 20% via automated snapshot cleanup (Lambda + EBS optimization) ✔ Improved deployment efficiency by 35% using Terraform-based automation ✔ Managed 200+ Linux servers with 99% system uptime ✔ Reduced downtime by 25% through proactive monitoring ✔ Achieved 99% deployment success rate using GitOps + Kubernetes ✔ Managed 200+ production tickets within SLA 🧠 Why Clients Hire Me ✔ I think like an architect, not just an engineer ✔ Strong troubleshooting mindset (Amazon-level standards) ✔ Automation-first approach ✔ Clear communication & documentation ✔ Focused on performance, security & cost efficiency ✔ Business-driven solutions, not over-engineering 🔐 I Can Help You With: I provide end-to-end AWS infrastructure solutions, specializing in building production-ready environments from the ground up through DevOps automation and EKS (Kubernetes) deployment. My expertise covers the full delivery lifecycle—from architecting robust CI/CD pipelines and AI/ML deployment frameworks to implementing high-fidelity monitoring and seamless AWS migrations. Every solution is engineered for peak performance and cost optimization, ensuring your cloud ecosystem is not just scalable, but fiscally efficient and easy to maintain. If you're looking for a reliable, technically strong, and business-focused DevOps engineer who understands both infrastructure and AI workloads, let’s connect. I’m here to build systems that scale.

Backend Developer Specialist Expert with 8+ years of professional experience in industry, with special expertise below: Language: Nodejs, Nestjs, React, PHP Framework: Featherjs, SailsJs, Loopback, ExpressJS, NestJs, hapijs, fastify, angular, react, electron Design Pattern: MVC, OOP, Methodology: Agile, Scrum, JIRA, Gitflow Tools: Bitbucket, Gitlab, github. Database: mongodb, postgre, mysql, redis, elastic, Firebase Cloud & DevOps: AWS: Cognito, Lambda, EC2, ECS, S3, RDS, Amplify Vercel, Docker, Kubernetes, CI/CD ORMs: TypeORM, Prisma, Sequelize

Here’s a clean, Upwork-ready rewrite you can paste into your profile. I kept it human, specific, and keyword-rich for search—while showcasing your 14+ years across cloud, DevOps, and automation. ✅ Cloud Architect & DevOps Engineer | AWS • GCP • Azure | Kubernetes • Terraform • CI/CD • DevSecOps I help companies design, secure, and automate cloud platforms that scale—from zero to production and beyond. With 14+ years across cloud engineering, DevOps architecture, and infrastructure automation, I’ve built end-to-end systems that start from a blank account and evolve into resilient, compliant, cost-efficient production environments. I work hands-on across AWS, GCP, and Azure; design robust networking (VPC/VNet, peering, VPN, Direct Connect/Interconnect, Transit); and automate everything with Terraform/Pulumi and modern CI/CD. Security and observability are baked in from day one. What I do Greenfield to Production: Ground-up cloud architecture, IaC, GitOps, and day-2 operations. Secure by Design: Network segmentation, least-privilege IAM, secrets, policy as code, and DevSecOps pipelines. Kubernetes at Scale: EKS/GKE/AKS design, cluster add-ons, multi-cluster/multi-region, HPA/VPA, autoscaling. High Throughput Systems: Architecting for millions of requests/second with caching, queues, and horizontal scale. Cost & Reliability: Right-sizing, spot strategy, autoscaling, SLOs, and disaster recovery runbooks. Recent impact (high level) Designed multi-region Kubernetes + GitOps platform to support spiky workloads with safe blue/green rollouts. Implemented full DevSecOps pipeline (SAST/DAST/Secrets/Dependency scanning) with policy gates and audit trails. Delivered VPC/VNet designs with private service access, egress controls, and zero-trust access patterns. Services Cloud Infrastructure ✔ Multi-cluster, multi-region VPC/VNet architectures with zonal resilience ✔ Security group / firewall / route audits ✔ Subnetting, routing, NAT/egress, private endpoints, WAF, IDS/IPS integration ✔ Connectivity: Direct Connect / Interconnect / ExpressRoute, IPSec VPN, Transit topologies, VPC peering ✔ AWS services: EKS, EC2, Lambda, RDS, Aurora, S3, CloudFront, ALB/NLB, Systems Manager, IAM DevOps & Automation ✔ Terraform (modules, workspaces, Terragrunt), Pulumi ✔ CloudFormation where required ✔ CI/CD: GitHub Actions, GitLab CI, Azure DevOps, Jenkins, CircleCI, TravisCI ✔ GitOps with Argo CD / Flux, progressive delivery (blue/green, canary) ✔ DevSecOps: SAST/DAST/Secrets/Dependency scanning, SBOMs, policy as code (OPA/Conftest), image signing Kubernetes & Containers ✔ Managed K8s: EKS / GKE / AKS, plus K3s for edge/lab ✔ Helm chart authoring & lifecycle, Kustomize overlays, ApplicationSets ✔ Dockerization of .NET, Java, PHP, Go, Python apps; multi-stage builds; security baselines ✔ Observability: Prometheus/Grafana, logging, tracing; alerts tied to SLOs ✔ Autoscaling: HPA/VPA/Cluster Autoscaler; spot/priority classes; node pools & taints/tolerations How I work Architecture first, automation always: Clear diagrams, ADRs, and repeatable IaC. Security & compliance built-in: Least-privilege IAM, encryption, image/signature policies, supply-chain controls. Operability: Dashboards, alerting, runbooks, and DR/backup strategies you can actually use. Transparent delivery: Milestone plans, PR-driven changes, and documentation for easy handover. Tech stack (abridged) Cloud: AWS, GCP, Azure IaC: Terraform, Terragrunt, Pulumi, CloudFormation CI/CD: GitHub Actions, GitLab, Azure DevOps, Jenkins, CircleCI, TravisCI Kubernetes: EKS, GKE, AKS, K3s • Helm, Kustomize, Argo CD/Flux • Ingress/WAF/Cert-Manager Security: IAM, KMS/Envelope, OPA/Conftest, SAST/DAST, image signing, SBOMs Data & Runtime: RDS/Aurora, S3/GCS/Blob, Redis, MQ, Lambda/Functions, container registries Observability: Prometheus, Grafana, Loki/ELK, OpenTelemetry Engagement options Architecture & Implementation: Design → IaC → CI/CD → secure rollout. Platform Hardening:Security review, IAM/VPC hardening, cost/risk reduction. Kubernetes Enablement:Cluster build-out, add-ons, GitOps, SRE baselines. Migrations: Lift-and-shift with refactoring for scale, reliability, and cost. Let’s talk If you need a secure, automated cloud foundation—or want to level up what you already have—send a message with your goals and timelines. I’ll propose a practical plan with clear milestones and outcomes.

🙋‍♂️ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 💼 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 | 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 ⏰ 5+ 𝐘𝐞𝐚𝐫𝐬 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 (𝐃𝐞𝐯𝐎𝐩𝐬 + 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭) 🟢 𝗔𝗪𝗦 • 𝗚𝗖𝗣 • 𝗔𝘇𝘂𝗿𝗲 • 𝗗𝗼𝗰𝗸𝗲𝗿 • 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 • 𝗖𝗜/𝗖𝗗 • 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 • 𝗗𝗲𝘃𝗢𝗽𝘀 • 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 🟢 𝙃𝙚𝙡𝙡𝙤! 𝙄’𝙢 𝙑𝙞𝙠𝙖𝙨𝙝 👨‍💻, a 𝐫𝐞𝐬𝐮𝐥𝐭𝐬-𝐝𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐥𝐨𝐮𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 5+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, including 𝟑.𝟓+ 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐃𝐞𝐯𝐎𝐩𝐬 and 2 𝐲𝐞𝐚𝐫 𝐢𝐧 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. I help businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐫𝐨𝐦 𝐜𝐨𝐝𝐞 𝐭𝐨 𝐟𝐮𝐥𝐥𝐲 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐜𝐥𝐨𝐮𝐝 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬. I’ve successfully 𝐝𝐞𝐩𝐥𝐨𝐲𝐞𝐝 𝟑𝟎+ 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 from scratch to live, high-performing production systems. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐚𝐛𝐥𝐞 🔹 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 I design 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐚𝐧𝐝 𝐜𝐨𝐬𝐭-𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐜𝐥𝐨𝐮𝐝 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 across AWS, GCP, Azure, DigitalOcean, and Linode. 🔹 𝐂𝐈/𝐂𝐃 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Building 𝐫𝐨𝐛𝐮𝐬𝐭 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 using GitHub Actions, Jenkins, and GitLab CI/CD for seamless deployments. 🔹 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 Expert in 𝐃𝐨𝐜𝐤𝐞𝐫 & 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, building scalable, production-ready architectures. 🔹 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂) Managing infrastructure using 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 for 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲. 🔹 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠, 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Using 𝐆𝐫𝐚𝐟𝐚𝐧𝐚, 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬, 𝐂𝐥𝐨𝐮𝐝𝐖𝐚𝐭𝐜𝐡 to ensure 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞. 🔹 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 I don’t just deploy — I 𝐝𝐞𝐛𝐮𝐠, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞, 𝐚𝐧𝐝 𝐬𝐭𝐚𝐛𝐢𝐥𝐢𝐳𝐞 𝐲𝐨𝐮𝐫 𝐚𝐩𝐩 before production. 🧩 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 🔹 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬 – Delivered 𝟑𝟎+ 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔹 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 & 𝐒𝐚𝐚𝐒 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 – Built scalable cloud systems 🔹 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 – Docker + Kubernetes-based deployments 🔹 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 – Improved performance & reduced costs ⭐ 𝐂𝐥𝐢𝐞𝐧𝐭 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤 ★★★★★ “𝐕𝐢𝐤𝐚𝐬𝐡 𝐬𝐨𝐥𝐯𝐞𝐝 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐃𝐨𝐜𝐤𝐞𝐫 & 𝐂𝐈/𝐂𝐃 𝐢𝐬𝐬𝐮𝐞𝐬 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲!” ★★★★★ “𝐖𝐞𝐧𝐭 𝐚𝐛𝐨𝐯𝐞 𝐚𝐧𝐝 𝐛𝐞𝐲𝐨𝐧𝐝 — 𝐚𝐦𝐚𝐳𝐢𝐧𝐠 𝐃𝐞𝐯𝐎𝐩𝐬 𝐞𝐱𝐩𝐞𝐫𝐭!” ★★★★★ “𝐅𝐫𝐨𝐦 𝐳𝐞𝐫𝐨 𝐭𝐨 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 — 𝐟𝐥𝐚𝐰𝐥𝐞𝐬𝐬 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧.” 🌟 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 ✅ 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐎𝐰𝐧𝐞𝐫𝐬𝐡𝐢𝐩 ✅ 𝐃𝐞𝐯 + 𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ✅ 𝐅𝐚𝐬𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 ✅ 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 & 𝐒𝐞𝐜𝐮𝐫𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 ✅ 𝐏𝐫𝐨𝐛𝐥𝐞𝐦-𝐒𝐨𝐥𝐯𝐢𝐧𝐠 𝐌𝐢𝐧𝐝𝐬𝐞𝐭 🧠 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, JavaScript, Bash, Terraform 𝐂𝐥𝐨𝐮𝐝: AWS, GCP, Azure, DigitalOcean, Linode 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI/CD, Terraform 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: Grafana, Prometheus, CloudWatch 𝐖𝐞𝐛: Node.js, React.js, PHP, WordPress 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Linux (Ubuntu), Nginx 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Git, GitHub, Bitbucket 💼 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝, 𝐝𝐞𝐩𝐥𝐨𝐲, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 — 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐰𝐚𝐲. 📩 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 — 𝐚𝐧𝐝 𝐦𝐚𝐤𝐞 𝐲𝐨𝐮𝐫 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐟𝐮𝐭𝐮𝐫𝐞-𝐫𝐞𝐚𝐝𝐲.

I help startups and SaaS teams build secure, scalable cloud infrastructure on AWS and Azure. With 10+ years of experience in DevOps, DevSecOps, SRE, and cloud automation, I help teams improve deployment speed, strengthen security, and keep production systems reliable. I specialize in: AWS and Azure infrastructure. Kubernetes and container platforms. Terraform and Infrastructure as Code. CI/CD automation. Cloud security hardening. Monitoring, observability, and alerting. Production migrations and cloud modernization. Linux administration and automation. High availability and disaster recovery. Cloud cost optimization. I’ve worked on: AI/ML and data-intensive workloads. Healthcare and compliance-aware environments. Enterprise Kubernetes platforms. Multi-cloud infrastructure. Secure production systems. Automated deployment ecosystems. My approach is practical, automation-first, and reliability-focused. I work well in existing production environments, solve infrastructure bottlenecks quickly, and build maintainable cloud platforms that can scale with business needs. Certifications: AWS Certified Solutions Architect – Associate AWS Certified SysOps Administrator – Associate Certified Kubernetes Administrator (CKA) If you need someone who can own cloud infrastructure, DevOps automation, security hardening, and production reliability end to end, I’d be glad to help.

Clients typically come to me when their infrastructure starts limiting growth instead of supporting it. I approach DevOps differently focused on automation, reliability, and long-term scalability. With 5 years of experience in DevOps, cloud engineering, and system administration, I help businesses build scalable, reliable, and cost-efficient systems on AWS and Azure. DEVOPS & CLOUD ARCHITECTURE: As a DevOps Engineer, I design and manage cloud infrastructure that is built for performance, scalability, and long-term stability. • Cloud architecture on AWS and Azure — scalable, secure, and production-ready environments • Infrastructure as Code using Terraform and CloudFormation • Designing microservices and container-based infrastructure using Docker and Kubernetes • High-availability and fault-tolerant system design across cloud platforms • Environment setup for startups to enterprise-grade systems CI/CD & AUTOMATION: I build and optimize CI/CD pipelines that reduce deployment time and improve release confidence. • CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, and AWS CodePipeline • Automated build, test, and deployment workflows • Zero-downtime deployments using blue-green and rolling strategies • Release management and version control automation • Workflow optimization to reduce manual effort and human errors CONTAINERIZATION & ORCHESTRATION: I work extensively with modern container-based systems to ensure scalable and portable deployments. • Docker containerization for applications and services • Kubernetes (EKS, AKS) for orchestration and scaling • Helm charts for Kubernetes deployments • Container security and image optimization • Managing production workloads on Kubernetes clusters MONITORING, LOGGING & RELIABILITY: I ensure systems are always observable, stable, and easy to troubleshoot. • Monitoring using Prometheus, Grafana, AWS CloudWatch, and Azure Monitor • Centralized logging using ELK Stack (Elasticsearch, Logstash, Kibana) • Alerting and incident response setup • Performance tuning and system optimization • Proactive issue detection and reliability engineering SECURITY & DEVSECOPS: Security is integrated into every stage of the DevOps lifecycle. • IAM, role-based access control, and policy management • Secure CI/CD pipelines and secrets management • SSL, network security, and firewall configurations • Vulnerability scanning and compliance practices • DevSecOps implementation across cloud environments AWS & AZURE EXPERTISE: I work across both AWS and Azure depending on project needs. • AWS — EC2, S3, RDS, Lambda, ECS, EKS, CloudFormation, IAM, CloudWatch • Azure — App Services, AKS, Azure DevOps, Azure Functions, Azure Monitor, Azure AD • Hybrid and multi-cloud architecture design • Cloud migration from on-premise to AWS/Azure • Cost optimization and performance tuning ADDITIONAL DEVOPS EXPERTISE: • Linux system administration (Ubuntu, CentOS, Amazon Linux) for production-grade server environments • NGINX and Apache web server configuration, optimization, and reverse proxy setup • Kubernetes cluster management, scaling, troubleshooting, and workload optimization • AWS ECS, Docker Swarm, and container orchestration for distributed applications • GitOps workflows using ArgoCD and automated Kubernetes deployments • Infrastructure monitoring, log aggregation, and observability best practices • Auto-scaling infrastructure for high-traffic applications and microservices environments • Backup strategies, disaster recovery planning, and high-availability infrastructure setup • Secure cloud networking using VPCs, subnets, NAT gateways, VPNs, and firewall policies • CI/CD optimization for faster deployments, rollback strategies, and release automation • Performance optimization for cloud servers, APIs, databases, and containerized applications • Experience working with MySQL, PostgreSQL, MongoDB, and Redis in cloud-native environments • End-to-end DevOps implementation for startups, SaaS products, and enterprise applications • Server migration projects. INDUSTRIES & PROJECT EXPERIENCE: I’ve worked with startups, agencies, and enterprises across: • SaaS platforms — scalable cloud infrastructure and CI/CD pipelines • E-commerce — high-availability systems and auto-scaling environments • Fintech — secure and compliant infrastructure • Healthcare — reliable and secure data handling systems • Logistics — real-time tracking and system optimization MY APPROACH: Every project is different. Sometimes you need a DevOps Engineer to fix pipelines. Sometimes you need someone to build your entire infrastructure from scratch. I start by understanding your system, identify gaps, and then design and implement solutions that actually work in production. From infrastructure setup CI/CD monitoring scaling security, I handle the complete DevOps lifecycle on AWS and Azure.