I am a Senior DevOps Engineer with 8+ years of experience in Devops working with startups, fintech firms, and global enterprises like JP Morgan Chase & DTCS. I specialize in designing secure, cost-effective, and highly scalable cloud infrastructure on AWS & Kubernetes which plays a crucial role in Devops Engineering. What I Can Do for You in Devops : * Cloud Infrastructure: AWS, GCP, Terraform, Kubernetes (EKS, ECS, Helm) * CI/CD Automation: GitHub Actions, Jenkins, ArgoCD, GitLab CI * Security & Compliance: Zero Trust Architecture, Encryption at Rest & Transit, Vulnerability Management * Monitoring & Logging: Prometheus, Grafana, ELK, Datadog, New Relic * Fintech & Compliance: PCI DSS, GDPR, SOC2, NIST Framework I have helped companies reduce debugging time from 4 hours to 30 minutes and cut cloud costs by up to 40% through optimized infrastructure solutions. Let’s discuss it over call on how I can optimize your cloud setup and automate your workflows!

𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿 | 𝗗𝗲𝘃𝗢𝗽𝘀 | 𝗠𝗟𝗢𝗽𝘀 | 𝗔𝗜𝗢𝗽𝘀 | 𝗦𝘆𝘀𝘁𝗲𝗺 𝗔𝗱𝗺𝗶𝗻 | 𝗖𝗹𝗼𝘂𝗱 & 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁 Hello! I am 𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿, a DevOps, MLOps, AIOps, and System Administration Engineer with 8+ years of experience building secure, scalable, and production-ready infrastructure for SaaS platforms, AI applications, cloud-native systems, and LLM-based products. From traditional server administration to modern AI infrastructure, I help businesses automate deployments, migrate applications from Replit to enterprise cloud platforms, scale applications, optimize cloud environments, and build reliable DevOps pipelines across AWS, Azure, and GCP. Whether you are launching a startup, deploying AI agents, managing Kubernetes clusters, building RAG-based applications, or simply need stable cloud infrastructure, I can help you deploy faster, automate smarter, and scale confidently. DevOps, Cloud & Infrastructure - AWS, Azure, GCP, DigitalOcean, Linode - Docker, Kubernetes (EKS, ECS, AKS, GKE) - Infrastructure as Code: Terraform, Ansible, CloudFormation - Serverless: AWS Lambda, Azure Functions, Google Cloud Functions - High-availability & autoscaling architectures - GPU infrastructure for AI/ML workloads - Linux & Windows server administration Replit, Cloud Migration & Platorm Modernization - Replit application deployment & infrastructure management - Migration from Replit to AWS, Azure, GCP, DigitalOcean & Kubernetes - Containerization using Docker for Replit-hosted applications - CI/CD implementation for Replit projects - Database migration & environment separation (Dev/Staging/Production) System Administration & Server Management - Ubuntu, CentOS, AlmaLinux, Debian, Windows Server - cPanel/WHM, Plesk, Webmin - Apache, Nginx, LiteSpeed, HAProxy - Email servers: Postfix, Exim, Dovecot - SPF, DKIM, DMARC configuration - SSL setup, backups, migrations & troubleshooting - Rsync, Rclone, cron jobs & automation CI/CD & Automation - Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines - Automated build, deployment & rollback pipelines - GitOps workflows using ArgoCD & Flux - Airflow, n8n, Zapier & workflow automation - Infrastructure automation using Python, Bash & YAML MLOps / LLMOps / AI Infrastructure - MLflow, Kubeflow, Vertex AI - AI model deployment with TensorFlow, PyTorch & SageMaker - LLMOps pipelines for production AI applications - OpenAI, Azure OpenAI & HuggingFace integrations - Vector databases: Pinecone, Weaviate, FAISS, Chroma - RAG pipelines & embedding systems - KServe, FastAPI & Docker-based model serving - AI agent orchestration using OpenClaw - Clawbot & Moltbot deployment workflows - Monitoring, retraining & model lifecycle management Monitoring, Security & AIOps - Prometheus, Grafana, ELK Stack, CloudWatch, Datadog - OpenTelemetry & Jaeger tracing - AI-driven monitoring & anomaly detection - Automated incident remediation - HashiCorp Vault, AWS KMS, Snyk, SonarQube - OWASP security best practices Databases & Storage - PostgreSQL, MySQL, MariaDB, AuroraDB - MongoDB, DynamoDB - Redis, Memcached - Vector databases for AI workloads I believe modern infrastructure is no longer just about servers, it is about intelligent automation, scalable AI systems, reliable deployments, and building environments that can grow with your business. If you are building AI platforms, SaaS systems, cloud infrastructure, ML pipelines, AI agents, or large-scale applications, I would be happy to help. Feel free to invite me to your project or schedule a quick call to discuss how I can help. Best regards, Gurwinder

🔥 Senior Full-Stack AI Engineer (MLOps + LLM) | Lead Engineer at RemoteCore Labs Welcome to RemoteCore Labs - a remote-first collective of senior engineers, AI practitioners, and creative digital specialists. I lead our engineering team with 18+ years of experience as a Senior Full-Stack AI Engineer, combining deep expertise in LLMs, MLOps, cloud infrastructure, DevOps, backend systems, and scalable product development. Together, we help businesses build, launch, and scale modern digital products with intelligence baked into every layer. 🧠 Core Competencies 🔸 Cloud Platforms: Azure, AWS, GCP, multi-cloud, SpotIO 🔸 CI/CD & Automation: Azure DevOps, GitHub Actions, Jenkins, GitLab CI, ArgoCD, Backstage, Python, Bash, Golang, TypeScript 🔸 Infrastructure as Code: Terraform, Scalr, Crossplane, Ansible 🔸 Container Orchestration: Kubernetes (AKS, EKS, GKE), Helm, Kustomize, Docker 🔸 Monitoring / Alerting & Security: Datadog, Prometheus, Grafana, ELK, HashiCorp Vault, Cloudflare, Megalinterio, PagerDuty 🔸 MLOps: GPU-backed infrastructure for machine learning/model deployment 🔸 Networking & Server Infrastructure: Cisco ASA, VPN, DNS/DHCP, BGP/OSPF, Hyper-V, VMware, Windows Server, Linux (RHEL, CentOS, Ubuntu, SLES, Debian, OpenBSD) 🔸 Operating Systems: Linux server administration, Windows Server, Active Directory, Exchange, OpenStack 🔸 Other Tools: Jira, Redis, PowerBI, Office 365, SharePoint 🎓 Certifications ✅ Certified Kubernetes Administrator (CKA) ✅ HashiCorp Certified: Terraform Associate ✅ AWS Certified Solutions Architect – Associate ✅ AWS Certified SysOps Administrator – Associate ✅ Microsoft Azure Administrator (AZ-104), Azure Fundamentals (AZ-900) ✅ Cisco Certified Network Associate – Security (CCNA Security) ✅ Red Hat Certified System Administrator (RHCSA) ✅ Microsoft: MCSA, MCITP, MCP, MCTS, CRM, GP 📌 Professional Highlights ⭐ Led infrastructure design and automation for global SaaS and enterprise platforms ⭐ Implemented cost-saving, scalable environments using Infrastructure as Code ⭐ Established CI/CD pipelines for secure, zero-downtime deployments ⭐ Delivered MLOps solutions supporting GPU-accelerated workflows ⭐ Supported migrations, disaster recovery, and multi-tenant platforms 👨🏻‍💻 Technical Skills Summary 🔥 Languages: Python, Golang, TypeScript, Bash 🔥 IaC & Tools: Terraform, Scalr, Ansible, Crossplane, Scalr 🔥 CI/CD: GitHub Actions, Azure DevOps, GitLab CI, Jenkins, ArgoCD 🔥 Containers & Orchestration: Docker, Kubernetes (AKS, EKS, GKE), Helm, Kustomize 🔥 Monitoring & Logging: Datadog, Prometheus, Grafana, ELK, CloudWatch, Icinga, Nagios 🔥 Cloud & DevSecOps: Azure, AWS, GCP, HashiCorp Vault, Spotio, Cloudflare 🔥 Networking: Cisco UCS/HX/ASA, BGP, VPN, DHCP/DNS, FortiGate 🔥 Platforms: Linux (RHEL, CentOS, Ubuntu, SLES), Windows Server, Hyper-V, VMware 🔥 Other: Jira, PagerDuty, Microsoft Dynamics, SQL Server, Power BI, Office 365, SharePoint 🚀 Professional Approach ⚡ Focus on automation, documentation, and collaboration ⚡ Strong troubleshooting, incident management, and technical leadership ⚡ Proactive in cost optimization, DevSecOps, and team enablement 🫡 Availability Ready for remote freelance and contract opportunities in DevOps, SRE, cloud & automation. Berlin-based, open to international clients. Kareem Mostafa DevOps Lead | SRE | Cloud Infra | Berlin-based | Fluent in English, German (B2), Arabic

🎯 AWS Architect specialising in production migrations, EKS, and compliance builds. $500K+ delivered across 129 AWS engagements at 100% Job Success. Top Rated Plus on Upwork. IT-Magic is an AWS Advanced Consulting Partner. ☁️ 𝐑𝐞𝐜𝐞𝐧𝐭 𝐟𝐥𝐚𝐠𝐬𝐡𝐢𝐩 𝐰𝐨𝐫𝐤: 🔸 Nova Poshta Global and Intertop, rebuilt on AWS for Black Friday-class load 🔸 PCI DSS Level 1 led end-to-end at Centrobill 🔸 HIPAA AWS configured in Drata for a US healthcare operator 🔸 Ubisoft AWS infrastructure optimised for 50M+ daily gamers 🔸 QliqSOFT migrated to EKS and passed HIPAA audit, operational costs cut Most AWS work gets split across three or four freelancers who don't talk to each other - one runs infra, one writes Terraform, one handles compliance, one chases the cost. I handle the full stack directly, so the migration, the IaC, the compliance lift, and the FinOps pass land as one coordinated build instead of four disconnected handoffs. 🔧 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: - AWS migrations from bare metal, on-premises, or older AWS architectures (also Azure builds on AKS) - EKS, ECS, and Kubernetes clusters with multi-AZ fault tolerance and auto-scaling - Terraform-managed infrastructure (IaC, no hand-clicked configs) - HIPAA and PCI DSS compliance lifts on AWS Security Hub, GuardDuty, and AWS Inspector - AWS cost optimisation - documented 42% bill cut on one engagement, ongoing 40% average on retainers - High-availability ecommerce builds for Black Friday-class traffic (Ubisoft, Invogue, intertop.ua, Yakaboo) - CI/CD pipelines on GitLab CI, Jenkins, and Docker-based deploys - Production monitoring and SRE - CloudWatch, ElastiCache, OpenSearch, system audits 📋 𝐂𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐬: - IT-Magic is an AWS Advanced Consulting Partner - AWS Certified Solutions Architect Professional - AWS Certified DevOps Engineer Professional - AWS Certified Security Specialty - AWS Certified Advanced Networking Specialty - AWS Partner - Generative AI Essentials - Top Rated Plus on Upwork, top 3% globally - 13+ years on Linux and production cloud, based in Warsaw 🎯 𝐖𝐡𝐨 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡: E-commerce, fintech, healthcare, and AI-workload companies that cannot afford a bad migration or a surprise cloud bill. Mid-stage to enterprise. Teams that already have engineering and want a senior AWS partner who can also handle the compliance and FinOps conversations - without a junior strategist in the middle. ⚙️ 𝐇𝐨𝐰 𝐈 𝐑𝐮𝐧 𝐚𝐧 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭: 1️⃣ Read - 48-hour technical audit, current setup mapped, risks flagged, written plan back to you 2️⃣ Architect - target architecture and migration order designed before any code ships 3️⃣ Build - migration, IaC, CI/CD, compliance lifts delivered as one workstream 4️⃣ Handover - architecture diagrams, Terraform repo, runbooks, observability dashboards, knowledge transfer session 𝐈𝐟 𝐲𝐨𝐮𝐫 𝐀𝐖𝐒 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐢𝐬: 🛠️ Migration-pending - I have done 129 of these. I will tell you what to move first, what to refactor before the move, and what to leave for later. 🛡️ Compliance-pressured - HIPAA, PCI DSS, SOC 2, ISO 27001 audits passed under my watch. 💰 Quietly overspending - averaging 40% bill cut on retainer accounts, with the change-log to prove it. 🤖 AI-workload-heavy - I have built GPU-cluster and Bedrock/SageMaker setups for production AI services. 𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐌𝐞 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭: ✔️ Senior multi-discipline - AWS architecture + IaC + compliance + FinOps as one build ✔️ AWS Advanced Consulting Partner with a dedicated team behind the delivery ✔️ Top Rated Plus, 100% JSS across 50+ contracts ✔️ Consistent delivery methodology - same 4-step process on every engagement ☎️ Send me the details and I will come back in 48 hours with a specific read on what to fix first and in what order.

Hi, I'm Stas. Cloud/DevOps engineer with 10+ years of experience. I help companies build reliable infrastructure, automate operations, and solve complex system problems. I've worked across startups and established products - from setting up infrastructure from scratch to optimizing costs and scaling systems that handle real traffic. Notable work: I co-architected Cloudways Autonomous, a Kubernetes-based autoscaling hosting platform (now it's part of Digital Ocean) I prefer clear communication and understanding the actual problem before jumping to solutions. Recently I've been working on the infrastructure side of LLM and agent applications - deployment, CI/CD, and observability for AI workloads. It's a natural extension of DevOps work, and a growing share of what I do. I prefer clear communication and understanding the actual problem before jumping into solutions. What I do well - Cloud architecture and migration (AWS, GCP, Azure, DigitalOcean) - Kubernetes: setup, migration, troubleshooting (EKS, GKE, AKS, bare metal) - Infrastructure as Code (Terraform, Terragrunt, Ansible) - CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, ArgoCD) - Monitoring and observability (Prometheus, Grafana, Datadog, New Relic) - Cost optimization and security hardening - Python and Bash automation - Deploying and operating LLM/agent applications in production Good fit for - We need to migrate to Kubernetes but don't know where to start - Our AWS bill is growing and we're not sure why - CI/CD is a mess, deployments are painful - We need someone to audit our infrastructure - We're shipping an LLM or agent application and need solid deployment, CI/CD, and monitoring around it

Your AI demos work on a laptop. But can they handle real users, real scale, and real money on the line? If you're tired of LLM prototypes that break in production, RAG systems that hallucinate instead of retrieve, or ML deployments that cost 3x what you budgeted you're in the right place. I build production-grade AI infrastructure that stays up, scales out, and doesn't drain your cloud budget. Over 4+ years shipping backend and ML systems for US, UK, and Middle East clients, I've learned what separates a demo from a product. Here's what that looks like in practice: • $6K Vertex AI pipeline — delivered end-to-end, on time, production-ready • Production RAG system — 95% retrieval accuracy, 40% cost reduction on Azure • Scikit-learn on SageMaker — deployed with API Gateway + Lambda, fully automated • MCP server for live ERP — connected LLM to real business data in real time • PostgreSQL + K3s cluster — built on-premises with Ansible, fully automated • 17 microservices migrated — cloud-native architecture, zero-downtime cutover • 30% cloud cost reduction — same performance, smaller bill • 50% faster deployments — CI/CD pipelines that actually work • 99.95% uptime — across 500K+ daily transactions, monitored and alerting HERE'S HOW I HELP YOU MLOps & Model Deployment You trained a great model. Now you need it deployed, versioned, monitored, and reproducible. I build MLOps pipelines on AWS SageMaker, Azure ML, and Vertex AI using Terraform, Docker, and Kubernetes. Your models go from notebook to production API with automated retraining, A/B testing, and drift detection. No more "it worked on my machine." Stack: SageMaker | Azure ML | Vertex AI | Docker | Kubernetes | Terraform | MLflow | FastAPI RAG & LLM Systems Your users ask complex questions. Generic GPT-4 answers won't cut it. I build Retrieval-Augmented Generation pipelines that pull from your actual documents, databases, and knowledge bases — with source citations, accuracy scoring, and hallucination guardrails. Stack: LangChain | LangGraph | LlamaIndex | OpenAI | Azure OpenAI | Pinecone | pgvector | Supabase | Azure AI Search AI Agents & MCP Servers Your LLM needs to do things, not just talk. I build AI agents and MCP (Model Context Protocol) servers that connect LLMs directly to your ERP, CRM, databases, and internal APIs. Live data. Real actions. Auditable results. Stack: MCP | LangGraph | FastAPI | PostgreSQL | REST APIs | WebSocket Cloud Infrastructure & DevOps ML without solid infrastructure is just a script. I design and implement cloud-native architectures on AWS and Azure with Infrastructure-as-Code, automated CI/CD, and production monitoring. You get infrastructure that scales automatically, recovers from failures, and costs less every month. Stack: Terraform | GitHub Actions | Jenkins | AWS CodePipeline | CloudWatch | Grafana | ECS | EKS | Lambda WHO THIS IS FOR ✓ Startup founders launching AI features under deadline pressure ✓ Engineering teams that need ML infrastructure without hiring a full MLOps team ✓ Companies migrating from prototype to production LLM systems ✓ CTOs who want predictable cloud costs and deployment reliability WHO THIS ISN'T FOR ✗ One-off script jobs with no path to production ✗ Teams looking for the cheapest option, not the right option ✗ Projects without clear success metrics or ownership Ready to turn your AI prototype into a production system? Click "Invite to Job" and tell me what you're building. I'll respond within 24 hours with a clear plan, honest timeline, and no fluff.

🏆 𝕋𝕠𝕡 1% - 𝕋𝕠𝕡 ℝ𝕒𝕥𝕖𝕕 ℙ𝕝𝕦𝕤 🧑🏻‍🤝‍🧑🏻 60+ ℍ𝕒𝕡𝕡𝕪 𝕔𝕝𝕚𝕖𝕟𝕥𝕤 ⏱️ 6000+ 𝕋𝕠𝕥𝕒𝕝 ℍ𝕠𝕦𝕣𝕤 🎭 100% 𝕁𝕊𝕊) Hi 👋, I specialize in designing and deploying 𝙞𝙣𝙣𝙤𝙫𝙖𝙩𝙞𝙫𝙚, 𝙨𝙘𝙖𝙡𝙖𝙗𝙡𝙚, 𝙖𝙣𝙙 𝙨𝙚𝙘𝙪𝙧𝙚 cloud-native solutions💡. With more than 𝟖 years of experience as 𝘾𝙡𝙤𝙪𝙙 𝘼𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩, 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝘼𝙙𝙢𝙞𝙣𝙨𝙩𝙧𝙖𝙩𝙤𝙧 𝙖𝙣𝙙 𝘿𝙚𝙫𝙎𝙚𝙘𝙊𝙥𝙨 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧. T̲h̲i̲s̲ ̲i̲s̲ ̲m̲y̲ ̲P̲r̲o̲f̲e̲s̲s̲i̲o̲n̲a̲l̲ ̲C̲e̲r̲t̲i̲f̲i̲c̲a̲t̲i̲o̲n̲ ̲:̲ 🥇 𝑲𝒖𝒃𝒆𝒓𝒏𝒆𝒕𝒆𝒔 Administrator CKA 🥇 𝑲𝒖𝒃𝒆𝒓𝒏𝒆𝒕𝒆𝒔 Security specialist CKS 🥇 𝑲𝒖𝒃𝒆𝒓𝒏𝒆𝒕𝒆𝒔 Application Developer CKAD 🥇 𝑲𝒖𝒃𝒆𝒓𝒏𝒆𝒕𝒆𝒔 𝒂𝒏𝒅 𝑪𝒍𝒐𝒖𝒅 𝑵𝒂𝒕𝒊𝒗𝒆 Associate (KCNA) 🥇 𝑲𝒖𝒃𝒆𝒓𝒏𝒆𝒕𝒆𝒔 𝒂𝒏𝒅 𝑪𝒍𝒐𝒖𝒅 𝑵𝒂𝒕𝒊𝒗𝒆 𝑺𝒆𝒄𝒖𝒓𝒊𝒕𝒚 Associate (KCSA) 🥇 𝑨𝑾𝑺 Solution Architect 🥇 𝑨𝒛𝒖𝒓𝒆 DevOps Expert🥇 𝑻𝒆𝒓𝒓𝒂𝒇𝒐𝒓𝒎 Associate🥇 𝑨𝒓𝒈𝒐 𝑪𝑫, GitOps At Scale 🥇 Certified 𝑰𝒔𝒕𝒊𝒐 and 𝑬𝒏𝒗𝒐𝒚 Service Mesh With my expertise in cloud-native design, I can help you build scalable, high-performance applications using microservices, deployed seamlessly in containers on private, public, or hybrid cloud platforms. This will be realized using this 🆃🅾🅾🅻🆂 🛠️ following the 𝙎𝙚𝙫𝙚𝙣 𝙈𝙤𝙙𝙚𝙡𝙨 𝙤𝙛 𝘾𝙡𝙤𝙪𝙙 𝙉𝙖𝙩𝙞𝙫𝙚 𝘿𝙚𝙨𝙞𝙜𝙣 🔥 : 👨‍💻 𝟏. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐃𝐞𝐬𝐢𝐠𝐧 & 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐌𝐨𝐝𝐞 - Programming Languages: 𝙂𝙤, 𝙋𝙮𝙩𝙝𝙤𝙣, 𝙉𝙤𝙙𝙚 𝙟𝙨, 𝘽𝙖𝙨𝙝 - Containerization Tools: 𝘿𝙤𝙘𝙠𝙚𝙧, 𝘿𝙤𝙘𝙠𝙚𝙧-𝘾𝙤𝙢𝙥𝙤𝙨𝙚, 𝙆𝙖𝙣𝙞𝙠𝙤, 𝙋𝙤𝙙𝙢𝙖𝙣 - Container Image Registry: 𝙃𝙖𝙧𝙗𝙤𝙧, 𝘿𝙤𝙘𝙠𝙚𝙧𝙝𝙪𝙗 𝙂𝙞𝙩𝙡𝙖𝙗 𝙍𝙚𝙜𝙞𝙨𝙩𝙧𝙮, 𝙂𝙞𝙩𝙝𝙪𝙗 𝙍𝙚𝙜𝙞𝙨𝙩𝙧𝙮 - A̲P̲I̲ ̲D̲r̲i̲v̲e̲n̲: 𝘼𝙥𝙞𝙨𝙞𝙭, 𝙄𝙨𝙩𝙞𝙤 𝙂𝙖𝙩𝙚𝙬𝙖𝙮, 𝙆𝙤𝙣𝙜, 𝙏𝙧𝙖𝙚𝙛𝙞𝙠, 𝘼𝙢𝙗𝙖𝙨𝙨𝙖𝙙𝙤𝙧, 𝙏𝙮𝙠 - M̲o̲d̲e̲r̲n̲ ̲D̲a̲t̲a̲b̲a̲s̲e̲s̲: 𝘾𝙖𝙨𝙨𝙖𝙣𝙙𝙧𝙖, 𝙀𝙡𝙖𝙨𝙩𝙞𝙘𝙨𝙚𝙖𝙧𝙘𝙝, 𝘾𝙤𝙪𝙘𝙝𝙙𝙗, 𝙍𝙚𝙙𝙞𝙨, 𝙋𝙤𝙨𝙩𝙜𝙧𝙚𝙎𝙌𝙇, 𝙑𝙞𝙩𝙚𝙨𝙨 - E̲v̲e̲n̲t̲-̲D̲r̲i̲v̲e̲n̲ ̲D̲e̲s̲i̲g̲n̲:̲ 𝙉𝘼𝙏𝙎, 𝙍𝙖𝙗𝙗𝙞𝙩𝙈𝙌, 𝙆𝙖𝙛𝙠𝙖, 𝘼𝙘𝙩𝙞𝙫𝙚𝙈𝙌, 𝘽𝙚𝙖𝙣𝙨𝙩𝙖𝙡𝙠𝙙 🏗️ 𝟐. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞/𝐃𝐞𝐯𝐎𝐩𝐬 - 𝐂𝐈/𝐂𝐃 - CI/CD Tools: 𝙂𝙞𝙩𝙡𝙖𝙗 𝘾𝙄, 𝙂𝙞𝙩𝙝𝙪𝙗 𝘼𝙘𝙩𝙞𝙤𝙣𝙨, 𝙅𝙚𝙣𝙠𝙞𝙨, 𝘿𝙖𝙜𝙜𝙚𝙧, 𝙏𝙧𝙖𝙫𝙞𝙨 𝘾𝙄, 𝘾𝙞𝙧𝙘𝙡𝙚 𝘾𝙄, 𝙏𝙚𝙠𝙩𝙤𝙣. - Security Scanning Tools: 𝙏𝙧𝙞𝙫𝙮, 𝘿𝙤𝙘𝙠𝙚𝙧 𝙎𝙚𝙘𝙪𝙧𝙞𝙩𝙮 𝙎𝙘𝙖𝙣𝙣𝙚𝙧, 𝙎𝙣𝙮𝙠 - Secret Management: 𝙎𝙤𝙥𝙨, 𝙑𝙖𝙪𝙡𝙩, 𝙆𝙚𝙮𝙗𝙖𝙨𝙚, 𝙑𝙖𝙪𝙡𝙩 𝙎𝙚𝙘𝙧𝙚𝙩𝙨 𝙊𝙥𝙚𝙧𝙖𝙩𝙤𝙧, 𝙄𝙣𝙛𝙞𝙨𝙞𝙘𝙖𝙡 - D̲e̲c̲l̲a̲r̲a̲t̲i̲v̲e̲ ̲A̲P̲I̲ ̲(̲I̲a̲a̲C̲)̲: 𝙏𝙚𝙧𝙧𝙖𝙛𝙤𝙧𝙢, 𝙋𝙪𝙡𝙪𝙢𝙞, 𝘼𝙣𝙨𝙞𝙗𝙡𝙚, 𝙋𝙪𝙥𝙥𝙚𝙩, 𝘾𝙝𝙚𝙛, 𝙆𝙪𝙗𝙚𝙫𝙚𝙡𝙖 - Service Discovery & Service Mesh: 𝙄𝙨𝙩𝙞𝙤, 𝙀𝙣𝙫𝙤𝙮, 𝘾𝙤𝙣𝙨𝙪𝙡, 𝙇𝙞𝙣𝙠𝙚𝙧𝙙, 𝙕𝙤𝙤𝙠𝙚𝙚𝙥𝙚𝙧, 𝙈𝙚𝙨𝙝𝙚𝙧𝙮 - SSL: 𝘾𝙚𝙧𝙩 𝙈𝙖𝙣𝙖𝙜𝙚𝙧, 𝘾𝙚𝙧𝙩𝙗𝙤𝙩, 𝙇𝙚𝙩’𝙨 𝙀𝙣𝙘𝙧𝙮𝙥𝙩 - Applications Platforms: 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨, 𝘿𝙤𝙘𝙠𝙚𝙧 𝙎𝙬𝙖𝙧𝙢, 𝙊𝙥𝙚𝙣𝙨𝙝𝙞𝙛𝙩, 𝙍𝙖𝙣𝙘𝙝𝙚𝙧, 𝙊𝙥𝙚𝙣𝙨𝙩𝙖𝙘𝙠 - Internal Developer Platforms: 𝘽𝙖𝙘𝙠𝙨𝙩𝙖𝙜𝙚, 𝙆𝙧𝙖𝙩𝙞𝙭, 𝙋𝙤𝙧𝙩 - Kubernetes Package Managers: 𝙃𝙚𝙡𝙢 , 𝙃𝙚𝙡𝙢𝙛𝙞𝙡𝙚, 𝙃𝙚𝙡𝙢𝙨𝙢𝙖𝙣 ⚙️ 𝟑. 𝐁𝐮𝐢𝐥𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐌𝐨𝐝𝐞𝐥 - Worker Nodes Scaling: 𝙆𝙖𝙧𝙥𝙚𝙣𝙩𝙚𝙧, 𝘾𝙡𝙪𝙨𝙩𝙚𝙧 𝘼𝙪𝙩𝙤𝙨𝙘𝙖𝙡𝙚𝙧 - Pods Replication Scaling: 𝙠𝙣𝙖𝙩𝙞𝙫𝙚, 𝙃𝙤𝙧𝙞𝙯𝙤𝙣𝙩𝙖𝙡 𝙋𝙤𝙙 𝘼𝙪𝙩𝙤𝙨𝙘𝙖𝙡𝙚𝙧 (𝙃𝙋𝘼), 𝙑𝙚𝙧𝙩𝙞𝙘𝙖𝙡 𝙋𝙤𝙙 𝘼𝙪𝙩𝙤𝙨𝙘𝙖𝙡𝙚𝙧 (𝙑𝙋𝘼) - G̲i̲t̲O̲p̲s̲: 𝙁𝙡𝙪𝙭𝘾𝘿, 𝘼𝙧𝙜𝙤𝘾𝘿, 𝙍𝙖𝙣𝙘𝙝𝙚𝙧 𝙁𝙡𝙚𝙚𝙩, Argo Rollout , Canary, Blue/Green 🔭 𝟒. 𝐂𝐥𝐨𝐮𝐝 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 - Monitoring: 𝙋𝙧𝙤𝙢𝙚𝙩𝙝𝙪𝙚𝙨, 𝙂𝙧𝙖𝙛𝙖𝙣𝙖 - Tracing: 𝙏𝙚𝙢𝙥𝙤, 𝙚𝘽𝙋𝙁, 𝙊𝙥𝙚𝙣𝙏𝙚𝙡𝙚𝙢𝙚𝙩𝙧𝙮,𝙅𝙖𝙚𝙜𝙚𝙧, 𝙕𝙞𝙥𝙠𝙞𝙣 - APM: 𝙉𝙚𝙬 𝙍𝙚𝙡𝙞𝙘, 𝙎𝙠𝙮𝙬𝙖𝙡𝙠𝙞𝙣𝙜, 𝘿𝙖𝙩𝙖𝙙𝙤𝙜 - Continuous Profiling & Analysis: 𝙋𝙖𝙧𝙦𝙖, 𝙏𝙚𝙩𝙧𝙖𝙜𝙤𝙣, 𝙋𝙮𝙧𝙤𝙨𝙘𝙤𝙥𝙚 - Logging: 𝙇𝙤𝙠𝙞, 𝙀𝙇𝙆, 𝙁𝙡𝙪𝙚𝙣𝙩𝘽𝙞𝙩 - Observability Platforms: 𝙋𝙞𝙭𝙞𝙚, 𝙐𝙥𝙩𝙧𝙖𝙘𝙚, 𝙋𝙞𝙣𝙥𝙤𝙞𝙣𝙩, 𝘾𝙤𝙧𝙤𝙤𝙩 - Security Policies: 𝙆𝙚𝙮𝙘𝙡𝙤𝙖𝙘𝙠, 𝙁𝙖𝙡𝙘𝙤, 𝙆𝙪𝙗𝙚𝘼𝙧𝙢𝙤𝙧 🔐 𝟓. 𝟒𝐂'𝐬 𝐨𝐟 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 - Container Security | Cluster Security | Cloud Security | Container Image Security ☁️ 𝟔. 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 - Private: 𝘼𝙒𝙎 𝙂𝙊𝙑 𝘾𝙡𝙤𝙪𝙙 , 𝘼𝙯𝙪𝙧𝙚 𝙂𝙊𝙑 𝘾𝙡𝙤𝙪𝙙 - Public: 𝘼𝙒𝙎 , 𝘼𝙯𝙪𝙧𝙚, 𝙂𝘾𝙋, 𝘿𝙞𝙜𝙞𝙩𝙖𝙡𝙊𝙘𝙚𝙖𝙣, 𝙑𝙈𝙬𝙖𝙧𝙚, 𝙇𝙞𝙣𝙤𝙙𝙚, Scaleway, Hertzner, OVH Cloud 🔁 𝟕. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 - Chaos Engineering: 𝙇𝙞𝙢𝙞𝙩𝙪𝙨, 𝘾𝙝𝙖𝙤𝙨 𝙈𝙚𝙨𝙝 , 𝘾𝙝𝙖𝙤𝙨 𝙆𝙪𝙗𝙚 - MLOps Tools: 𝙈𝙇𝙁𝙡𝙤𝙬, 𝙋𝙚𝙧𝙛𝙚𝙘𝙩, 𝙈𝙚𝙩𝙖𝙛𝙡𝙤𝙬, 𝙆𝙪𝙗𝙚𝙁𝙡𝙤𝙬, 𝙍𝙖𝙮, 𝙈𝙚𝙩𝙖𝙁𝙡𝙤𝙬 💡 What Clients Say: ⭐⭐⭐⭐⭐"Firas has become a reliable resource for our company whenever we face any issues with our devops needs from cloud architecture, or cloud native app" ⭐⭐⭐⭐⭐"Firas went above and beyond in delivering the work! His dedication and skillset are commendable. Highly recommended!!" ⭐⭐⭐⭐⭐"Firas was like a GINUIS that solved a long persisting issues"

👋 𝖧ᴇʟʟᴏ! 𝘐 𝘢𝘮 𝘢 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗹𝗼𝘂𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 & 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝘸𝘪𝘵𝘩 𝟴+ 𝘆𝗲𝗮𝗿𝘀 𝘰𝘧 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 𝘪𝘯 𝗔𝗪𝗦, 𝗚𝗖𝗣, 𝗔𝘇𝘂𝗿𝗲, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗗𝗼𝗰𝗸𝗲𝗿, 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺, 𝗮𝗻𝗱 𝗖𝗜/𝗖𝗗 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 ☁️⚙️🚀 𝘐 𝘩𝘦𝘭𝘱 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴𝘦𝘴 𝘣𝘶𝘪𝘭𝘥 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦, 𝘴𝘦𝘤𝘶𝘳𝘦, 𝘢𝘯𝘥 𝘤𝘰𝘴𝘵-𝘦𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦 𝘤𝘭𝘰𝘶𝘥 𝘪𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦, 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘦 𝘥𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵𝘴, 𝘢𝘯𝘥 𝘪𝘮𝘱𝘳𝘰𝘷𝘦 𝘴𝘺𝘴𝘵𝘦𝘮 𝘳𝘦𝘭𝘪𝘢𝘣𝘪𝘭𝘪𝘵𝘺 🔐📈 𝖥ʀᴏᴍ ᴄʟᴏᴜᴅ ᴀʀᴄʜɪᴛᴇᴄᴛᴜʀᴇ ᴅᴇꜱɪɢɴ ᴛᴏ ᴅᴇᴘʟᴏʏᴍᴇɴᴛ ᴀᴜᴛᴏᴍᴀᴛɪᴏɴ, ᴍᴏɴɪᴛᴏʀɪɴɢ, ᴀɴᴅ ɪɴꜰʀᴀꜱᴛʀᴜᴄᴛᴜʀᴇ ᴏᴘᴛɪᴍɪᴢᴀᴛɪᴏɴ, 𝖨 ᴅᴇʟɪᴠᴇʀ ʀᴇʟɪᴀʙʟᴇ ᴅᴇᴠᴏᴘꜱ ꜱᴏʟᴜᴛɪᴏɴꜱ ꜰᴏʀ ꜱᴛᴀʀᴛᴜᴘꜱ, 𝖲𝖺𝖺𝖲 ᴘʟᴀᴛꜰᴏʀᴍꜱ, ᴀɴᴅ ᴇɴᴛᴇʀᴘʀɪꜱᴇ ᴛᴇᴀᴍꜱ 🌍💼 🛠 Ｃｌｏｕｄ ＆ ＤｅｖＯｐｓ Ｓｅｒｖｉｃｅｓ ****************************************************** ✔ 𝖢ʟᴏᴜᴅ 𝖠ʀᴄʜɪᴛᴇᴄᴛᴜʀᴇ & 𝖲ᴇᴛᴜᴘ ☁️ ------------------------------------------- 𝖣𝖾𝗌𝗂𝗀𝗇 𝖺𝗇𝖽 𝖽𝖾𝗉𝗅𝗈𝗒𝗆𝖾𝗇𝗍 𝗈𝖿 𝗌𝖾𝖼𝗎𝗋𝖾, 𝗌𝖼𝖺𝗅𝖺𝖻𝗅𝖾 𝗂𝗇𝖿𝗋𝖺𝗌𝗍𝗋𝗎𝖼𝗍𝗎𝗋𝖾 𝗈𝗇 𝖠𝖶𝖲, 𝖠𝗓𝗎𝗋𝖾, 𝖺𝗇𝖽 𝖦𝖢𝖯 ✔ 𝖢𝖨/𝖢𝖣 𝖯ɪᴘᴇʟɪɴᴇ 𝖠ᴜᴛᴏᴍᴀᴛɪᴏɴ 🚀 ------------------------------------------ 𝖠𝗎𝗍𝗈𝗆𝖺𝗍𝖾𝖽 𝖻𝗎𝗂𝗅𝖽, 𝗍𝖾𝗌𝗍, 𝖺𝗇𝖽 𝖽𝖾𝗉𝗅𝗈𝗒𝗆𝖾𝗇𝗍 𝗉𝗂𝗉𝖾𝗅𝗂𝗇𝖾𝗌 𝗎𝗌𝗂𝗇𝗀 𝖩𝖾𝗇𝗄𝗂𝗇𝗌, 𝖦𝗂𝗍𝖧𝗎𝖻 𝖠𝖼𝗍𝗂𝗈𝗇𝗌, 𝖦𝗂𝗍𝖫𝖺𝖻 𝖢𝖨/𝖢𝖣 & 𝖠𝗓𝗎𝗋𝖾 𝖣𝖾𝗏𝖮𝗉𝗌 ✔ 𝖪ᴜʙᴇʀɴᴇᴛᴇ𝗌 & 𝖢ᴏɴᴛᴀɪɴᴇʀɪᴢᴀᴛɪᴏɴ 📦 ------------------------------------------------ 𝖣𝗈𝖼𝗄𝖾𝗋 & 𝖪𝗎𝖻𝖾𝗋𝗇𝖾𝗍𝖾𝗌 𝖼𝗅𝗎𝗌𝗍𝖾𝗋 𝗌𝖾𝗍𝗎𝗉, 𝖧𝖾𝗅𝗆 𝖽𝖾𝗉𝗅𝗈𝗒𝗆𝖾𝗇𝗍𝗌, 𝗌𝖼𝖺𝗅𝗂𝗇𝗀, 𝖺𝗇𝖽 𝗆𝗂𝖼𝗋𝗈𝗌𝖾𝗋𝗏𝗂𝖼𝖾𝗌 𝗈𝗋𝖼𝗁𝖾𝗌𝗍𝗋𝖺𝗍𝗂𝗈𝗇 ✔ 𝖨ɴꜰʀᴀꜱᴛʀᴜᴄᴛᴜʀᴇ ᴀꜱ 𝖢ᴏᴅᴇ (𝖨𝖺𝖢) 🧩 -------------------------------------------- 𝖳𝖾𝗋𝗋𝖺𝖿𝗈𝗋𝗆, 𝖢𝗅𝗈𝗎𝖽𝖥𝗈𝗋𝗆𝖺𝗍𝗂𝗈𝗇, 𝖯𝗎𝗅𝗎𝗆𝗂 & 𝖠𝖶𝖲 𝖢𝖣𝖪 𝖿𝗈𝗋 𝖺𝗎𝗍𝗈𝗆𝖺𝗍𝖾𝖽 𝖺𝗇𝖽 𝗋𝖾𝗉𝖾𝖺𝗍𝖺𝖻𝗅𝖾 𝗂𝗇𝖿𝗋𝖺𝗌𝗍𝗋𝗎𝖼𝗍𝗎𝗋𝖾 𝗉𝗋𝗈𝗏𝗂𝗌𝗂𝗈𝗇𝗂𝗇𝗀 ✔ 𝖬ᴏɴɪᴛᴏʀɪɴɢ & 𝖮ʙꜱᴇʀᴠᴀʙɪʟɪᴛʏ 📊 -------------------------------------------- 𝖯𝗋𝗈𝗆𝖾𝗍𝗁𝖾𝗎𝗌, 𝖦𝗋𝖺𝖿𝖺𝗇𝖺, 𝗅𝗈𝗀𝗀𝗂𝗇𝗀, 𝖺𝗅𝖾𝗋𝗍𝗌, 𝖺𝗇𝖽 𝗉𝖾𝗋𝖿𝗈𝗋𝗆𝖺𝗇𝖼𝖾 𝗍𝗋𝖺𝖼𝗄𝗂𝗇𝗀 𝖿𝗈𝗋 𝗁𝗂𝗀𝗁 𝖺𝗏𝖺𝗂𝗅𝖺𝖻𝗂𝗅𝗂𝗍𝗒 ✔ 𝖢ʟᴏᴜᴅ 𝖮ᴘᴛɪᴍɪᴢᴀᴛɪᴏɴ & 𝖲ᴇᴄᴜʀɪᴛʏ 🔐 ------------------------------------------------ 𝖢𝗈𝗌𝗍 𝗈𝗉𝗍𝗂𝗆𝗂𝗓𝖺𝗍𝗂𝗈𝗇, 𝗉𝖾𝗋𝖿𝗈𝗋𝗆𝖺𝗇𝖼𝖾 𝗍𝗎𝗇𝗂𝗇𝗀, 𝖻𝖺𝖼𝗄𝗎𝗉𝗌, 𝖺𝗇𝖽 𝗌𝖾𝖼𝗎𝗋𝗂𝗍𝗒 𝗁𝖺𝗋𝖽𝖾𝗇𝗂𝗇𝗀 ✔ 𝖠ᴜᴛᴏᴍᴀᴛɪᴏɴ & 𝖨ɴᴛᴇɢʀᴀᴛɪᴏɴ ⚙️ ----------------------------------------- 𝖶𝗈𝗋𝗄𝖿𝗅𝗈𝗐 𝖺𝗎𝗍𝗈𝗆𝖺𝗍𝗂𝗈𝗇, 𝗌𝖾𝗋𝗏𝖾𝗋 𝖼𝗈𝗇𝖿𝗂𝗀𝗎𝗋𝖺𝗍𝗂𝗈𝗇, 𝖽𝖾𝗉𝗅𝗈𝗒𝗆𝖾𝗇𝗍 𝖺𝗎𝗍𝗈𝗆𝖺𝗍𝗂𝗈𝗇 & 𝖣𝖾𝗏𝖮𝗉𝗌 𝖻𝖾𝗌𝗍 𝗉𝗋𝖺𝖼𝗍𝗂𝖼𝖾𝗌 🛠 Ｓｋｉｌｌｓ ＆ Ｔｅｃｈ Ｓｔａｃｋ ********************************************** ☁️ 𝖢ʟᴏᴜᴅ: 𝖠𝖶𝖲, 𝖬𝗂𝖼𝗋𝗈𝗌𝗈𝖿𝗍 𝖠𝗓𝗎𝗋𝖾, 𝖦𝗈𝗈𝗀𝗅𝖾 𝖢𝗅𝗈𝗎𝖽 𝖯𝗅𝖺𝗍𝖿𝗈𝗋𝗆 📦 𝖢ᴏɴᴛᴀɪɴᴇʀ𝗌: 𝖣𝗈𝖼𝗄𝖾𝗋, 𝖪𝗎𝖻𝖾𝗋𝗇𝖾𝗍𝖾𝗌, 𝖧𝖾𝗅𝗆, 𝖮𝗉𝖾𝗇𝖲𝗁𝗂𝖿𝗍 ⚙️ 𝖨𝖺𝖢 & 𝖠ᴜᴛᴏᴍᴀᴛɪᴏɴ: 𝖳𝖾𝗋𝗋𝖺𝖿𝗈𝗋𝗆, 𝖠𝗇𝗌𝗂𝖻𝗅𝖾, 𝖯𝗎𝗅𝗎𝗆𝗂, 𝖢𝗅𝗈𝗎𝖽𝖥𝗈𝗋𝗆𝖺𝗍𝗂𝗈𝗇, 𝖠𝖶𝖲 𝖢𝖣𝖪, 𝖢𝗁𝖾𝖿 🚀 𝖢𝖨/𝖢𝖣: 𝖩𝖾𝗇𝗄𝗂𝗇𝗌, 𝖦𝗂𝗍𝖧𝗎𝖻 𝖠𝖼𝗍𝗂𝗈𝗇𝗌, 𝖦𝗂𝗍𝖫𝖺𝖻 𝖢𝖨/𝖢𝖣, 𝖠𝗓𝗎𝗋𝖾 𝖣𝖾𝗏𝖮𝗉𝗌 📊 𝖬ᴏɴɪᴛᴏʀɪɴɢ: 𝖯𝗋𝗈𝗆𝖾𝗍𝗁𝖾𝗎𝗌, 𝖦𝗋𝖺𝖿𝖺𝗇𝖺, 𝖫𝗈𝗀𝗀𝗂𝗇𝗀 & 𝖠𝗅𝖾𝗋𝗍𝗂𝗇𝗀 💾 𝖲ᴇʀᴠɪᴄᴇ𝗌: 𝖠𝖪𝖲, 𝖦𝖪𝖤, 𝖠𝗉𝗉 𝖲𝖾𝗋𝗏𝗂𝖼𝖾𝗌, 𝖫𝗈𝖺𝖽 𝖡𝖺𝗅𝖺𝗇𝖼𝖾𝗋𝗌, 𝖲𝗍𝗈𝗋𝖺𝗀𝖾, 𝖫𝗂𝗀𝗁𝗍𝗌𝖺𝗂𝗅 🔧 𝖮ᴛʜᴇʀ: 𝖫𝗂𝗇𝗎𝗑 𝖲𝖾𝗋𝗏𝖾𝗋𝗌, 𝖶𝗈𝗋𝖽𝖯𝗋𝖾𝗌𝗌 𝖧𝗈𝗌𝗍𝗂𝗇𝗀, 𝖭𝟪𝖭 𝖠𝗎𝗍𝗈𝗆𝖺𝗍𝗂𝗈𝗇, 𝖭𝖾𝗍𝗐𝗈𝗋𝗄𝗂𝗇𝗀 & 𝖣𝖭𝖲 🌟 Ｗｈｙ Ｈｉｒｅ Ｍｅ？ ******************************* • 𝟪+ 𝘺𝘦𝘢𝘳𝘴 𝘰𝘧 𝘊𝘭𝘰𝘶𝘥 & 𝘋𝘦𝘷𝘖𝘱𝘴 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 🏆 • 𝘚𝘤𝘢𝘭𝘢𝘣𝘭𝘦, 𝘴𝘦𝘤𝘶𝘳𝘦 & 𝘤𝘰𝘴𝘵-𝘦𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘵 𝘤𝘭𝘰𝘶𝘥 𝘢𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵𝘶𝘳𝘦 ⚡ • 𝘙𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘥𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵𝘴 & 𝘻𝘦𝘳𝘰-𝘥𝘰𝘸𝘯𝘵𝘪𝘮𝘦 𝘳𝘦𝘭𝘦𝘢𝘴𝘦𝘴 🔄 • 𝘓𝘰𝘯𝘨-𝘵𝘦𝘳𝘮 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 & 𝟤𝟦/𝟩 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘰𝘯 🤝 🔑 Ｋｅｙｗｏｒｄｓ ********************** AWS DevOps Engineer, AWS Cloud Engineer, AWS Solutions Architect, AWS Developer, Amazon EC2, Amazon S3, Amazon RDS, AWS Lambda, AWS VPC, AWS EKS, AWS ECS, AWS API Gateway, AWS IAM, AWS CloudFront, AWS Migration, AWS Cost Optimization, Cloud Deployment, Server Migration, CI/CD Pipeline, Docker, Kubernetes, Terraform, Infrastructure as Code, DevOps Automation, Linux Server, Nginx, Monitoring & Logging, High Availability Architecture, MERN Stack Developer, Full Stack Developer, React.js Developer, Next.js Developer, Node.js Developer, MongoDB Developer, REST API Development, GraphQL API, TypeScript Developer, SaaS Application Development, MVP Development, Microservices Architecture, JWT Authentication, Stripe Integration, Scalable Web Applications

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, I'm Avinash, an AWS Certified Solution Architect with 7+ years of experience, delivering scalable cloud solutions and robust Python apps. Specializing in AWS, Terraform, Kubernetes, Python, Automation, Django, Django Rest Framework, Flask and FastAPI, I’ve helped clients in healthcare, e-commerce, and finance save costs and boost efficiency. What I Bring to Your Project: Cloud Infrastructure and DevOps - AWS services including EC2, S3, Lambda, EKS - Infrastructure as Code using Terraform - Docker, Kubernetes, and secure cloud deployments - Automated scaling, monitoring, and cost optimization Python and Web Frameworks: - Python with Django, Django Rest Framework, Flask, FastAPI - RESTful API development, web scraping, and backend automation - PostgreSQL, MySQL, and Redis database integration Automation and CI/CD: - Jenkins, GitLab CI/CD pipeline configuration - Dockerized workflows for reliable deployment - Automated infrastructure for 20+ projects, cutting deployment time by 40% and AWS costs by 25%. Services Offered: - Scalable AWS infrastructure setup using Terraform - Automated CI/CD pipelines for fast and stable deployments - High-performance Python and Django API development - Cloud cost optimization and security best practices - Docker-based application deployment - Custom backend systems for business-critical applications If you are looking for a dependable cloud and backend developer to build or improve your system, feel free to reach out. I am ready to help you meet your goals efficiently and effectively.