🔸I'm a seasoned DevOps Engineer with over 4 years of experience and a knack for orchestrating tech landscapes. 🔸I firmly believe that DevOps is an art that goes beyond just mastering the best tools in the field – it's about strategic thinking, problem-solving, and continuous improvement that go hand-in-hand with them. 🔸With my extensive expertise in a wide range of technologies, including Linux, bash scripting, Docker, Swarm, Kubernetes, Nomad, OpenShift, GCP, AWS, DigitalOcean, Azure, Hetzner, and OpenStack, I bring a diverse skill set to the table. Moreover, I excel in implementing CI/CD and GitOps practices, streamlining software delivery processes and fostering a culture of automation and collaboration. 🔸I am well-versed in infrastructure-as-code tools like Terraform, Ansible, and Packer, providing organizations with efficient and scalable infrastructures. My proficiency in Python and Lua programming languages enables me to create innovative solutions, automate complex tasks and implement effective API integrations. 🔸I am a natural problem solver, always seeking innovative ways to optimize processes and enhance productivity. I believe in effective communication and collaboration, which makes me a valuable addition to any project. 🔸If you are looking for a productive DevOps Engineer with a business-driven approach, I am here to make a difference. Let's connect and discuss how to turn your vision into reality.

Struggling with broken pipelines, messy Docker setups, or ML models that never make it to production? I fix that. I am a DevOps and MLOps Engineer with 3+ years of experience running production AI/ML infrastructure for real products. At EmaagoTech, I managed 20+ CI/CD pipelines, cutting deployment time from 60 minutes to under 15, maintained a 21-container speech-to-text ML platform, and ran GPU-based AWS inference for underserved language models. I do not just set things up. I keep them running. 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿: ➞ CI/CD Pipelines: GitHub Actions, GitLab CI, Jenkins, built from scratch or rescued ➞ Containers: Docker, Kubernetes, Helm, ArgoCD, setup, optimization, production management ➞ MLOps: ML model deployment, GPU workloads on AWS, Kafka pipelines, Label Studio ➞ Self-Hosted Apps: n8n, Appwrite, Dify, Outline, Baserow, any Linux VPS ➞ Cloud: AWS, Azure, GCP, DigitalOcean, migration, setup, cost optimization ➞ Infrastructure as Code: Terraform, Ansible, automated provisioning ➞ Monitoring: Prometheus, Grafana, ELK Stack, CloudWatch, real-time observability 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗵𝗶𝗿𝗶𝗻𝗴 𝗺𝗲 𝗯𝗮𝗰𝗸: ➞ 100% Job Success Score with Top Rated badge on Upwork ➞ Currently 4+ months into a complex cloud engagement for a US-based client ➞ Active on a 2500-dollar AI platform deployment, I finish what I start ➞ Average response time under 2 hours, you will not be left waiting 𝗥𝗲𝗰𝗲𝗻𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: ➞ Reduced Docker image build time from 2 to 3 hours to under 10 minutes ➞ Cut deployment time by 80% across 15+ production pipelines ➞ Managed 20 Label Studio containers supporting 100+ data annotators ➞ Deployed secure VPN architecture, cutting server update time by 80% for a US client Whether you need a pipeline built today, a broken deployment fixed tonight, or a long-term infrastructure partner, send me a message. I respond fast and can usually tell you within 10 minutes if I can solve it.

I'm a DevOps Engineer with +3year of experience with operating cloud environments. My Stack is:- - OpenShift - Linux - Ansible Automation Platform. - RedHat Satellite. - Docker - Kubernetes - Amazon Web Services (AWS): EC2, ECS, S3, IAM, Lambda, Route 53, CloudFront, CloudFormation, RDS, etc; - Ansible - vMware - Terraform - CloudFormation - Git - Jenkins - GitLab CI - Prometheus - Helm Charts - SQL/NOSQL - Network Protocols - Bash Script - Programming Languages (Python, Javascript)

I’m a DevOps Specialist with 14+ years of experience in infra automation, and Software Development. I have expertise in AWS, Terraform, Ansible, Docker, Kubernetes, and CI/CD pipelines with Jenkins, CodePipeline, and CodeBuild. My focus is on API integrations, AI-driven automation, error handling, and observability using Prometheus, Grafana, and Kibana. Along with DevOps I build workflows using Make, Zapier, and n8n, leveraging AI-powered automation for intelligent data processing, decision-making, and predictive analytics. I also create custom automations with Python, Bash, and PowerShell to enhance workflow efficiency.

I help growing AI teams and SaaS companies fix AWS issues that slow releases, waste cloud budget, and put production at risk. I don't just "run DevOps". Being Solution Oriented, I find the 20% of infrastructure issues causing 80% of failures and overspending: unstable pipelines, slow builds, noisy deployments, mis-sized compute, always-on non-prod environments, missing alerts, weak access controls, unsafe infrastructure changes, backend bottlenecks, full stack developer handoff issues, and weak collaboration between application and infrastructure teams. You get a clear action plan, quick wins in the first days, and production-safe improvements shipped via Terraform, AWS Terraform, CI/CD, ci cd pipelines, rollback-ready delivery, and practical DevOps Engineer execution using AWS Kubernetes, Microsoft Azure, azure data factory and Google Cloud Platform. What you get from a cloud infrastructure optimization engagement: ✅ 5x faster releases via stable CI/CD, ci cd workflows, and AWS Terraform driven delivery ✅ Up to 40% AWS cost reduction by eliminating waste and rightsizing resources ✅ Safer AWS migrations with minimal downtime and rollback plans ✅ Scalable, production-ready cloud infrastructure for growing SaaS and AI products utilizing AWS Kubernetes ✅ 99.9% uptime mindset: monitoring, backups, health checks, and safe rollouts across platforms ✅ Better AWS backend stability for backend, backend AWS, and API-driven platforms ⚙️ How I work as an AWS DevOps Engineer: 1️⃣ Discovery & Assessment: analyze your current Amazon Web Services, Linux servers, backend, kubernetes, AWS ECS, AWS Lambda, AWS EKS, EKS, Amazon EKS, GitLab, GitHub Actions, AWS Terraform, AWS Kubernetes, and deployment pain points 2️⃣ Plan: define clear scope, milestones, risks, and the fastest first win across your infrastructure 3️⃣ Implement: build and automate with AWS DevOps Engineer best practices, DevOps Engineer delivery standards, cloud engineer ownership, and clean documentation 4️⃣ Verify + handover: release runbook, rollback path tested, monitoring validated, and short documentation for your team I mainly work with AWS, but I can also support mixed-cloud teams where Microsoft Azure pipelines, Azure Terraform, Azure Cloud Engineer workflows, Azure infrastructure, Google Cloud Platform, AWS VMware, or migration planning are part of the environment. My expertise covers devops kubernetes integrating AWS Terraform and AWS Kubernetes into multi-cloud setups. Real examples: 🔹 Case: AWS Production-Safe Cost Optimization ⚠️ Problem: Multiple AWS environments across production, staging, pre-production and development were running 24/7, with several oversized resources. 🛠️ Work: Reviewed AWS usage, rightsized resources, added safe Spot Instances, automated start/stop scheduling and improved cost visibility. 🎯 Result: Reduced AWS infrastructure spend by ~40% with zero customer-facing production impact. 🔹 Case: CI/CD for AWS Lambda & Product Engineering Teams ⚠️ Problem: Teams had no standard way to deploy AWS Lambda services. Each service was configured differently and required DevOps involvement. 🛠️ Work: Built 30+ AWS Lambda CI/CD pipelines for Python and Node.js with tests, SonarCloud checks and Orca Security gates. 🎯 Result: Developers could self-provision new Lambda services from a template in under 5 minutes, reducing DevOps dependency by ~80%. 🔹 Case: AWS Multi-Account Infrastructure with Terraform ⚠️ Problem: Product teams needed isolated non-prod, pre-prod and production environments, but provisioning took ~4 hours manually. 🛠️ Work: Built reusable Terraform modules across multiple AWS accounts and standardized environment provisioning with templates. 🎯 Result: Environment provisioning dropped from ~4 hours to ~20 minutes, helping teams ship and test faster. 🔹 Case: Feature-Branch Environments for Next.js / Node.js ⚠️ Problem: Developers shared one staging environment, causing conflicts and slower review cycles. 🛠️ Work: Built GitLab CI + Terraform automation to create isolated AWS Elastic Beanstalk environments per merge request. 🎯 Result: PR-based environments launched in ~10 minutes, removing staging conflicts and improving feedback loops by ~50%. Additional product infrastructure supported: AWS ECS, EKS, Lambda, Terraform, GitHub Actions, GitLab CI, Azure DevOps, Docker, AWS ECR, CloudFront, S3, RDS, Redshift, Dagster Cloud Hybrid Best fit for teams that need senior DevOps support for a launch, migration, infrastructure stabilization, AWS backend improvement, backend AWS architecture, or ongoing production ownership. I can support your team as an AWS DevOps Engineer, devops engineer, cloud engineer, aws architect, and senior delivery owner across Amazon Web Services, kubernetes, ci/cd, github actions, gitlab, Git, AWS Terraform, AWS Kubernetes, Azure DevOps, GCP DevOps, and terraform-based infrastructure. ☎️ Message me a short description of your current pain for fast Senior AWS DevOps Engineer support.

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.

I’m a seasoned DevOps Engineer and Cloud Engineer with over 4 years expertise in designing, automating, and optimizing modern cloud infrastructures. My skills span across AWS, Kubernetes, and CI/CD pipelines, helping businesses scale reliably and Securely. Whether you need Infrastructure as Code solutions or robust cloud deployments, I’m here to help. I work daily with tools like Terraform, Azure DevOps, Docker, Jenkins, and GitLab CI/CD to streamline development workflows. My experience includes building secure environments using AWS CloudFormation, developing scalable microservices with Kubernetes Helm Charts, and managing complex cloud migrations. I specialize in Ansible Automation and enjoy solving complex problems through scripting and smart automation. My background in GitOps with ArgoCD, AWS EKS Optimization, and Azure Bicep Templates ensures efficient and secure infrastructure deployments. I’m passionate about modern solutions like Kubernetes Cost Monitoring, implementing Cloud Cost Optimization Strategies, and architecting Serverless EventBridge Workflows for seamless event-driven systems. Beyond deployments, I focus on critical tasks like multi-cloud disaster recovery, implementing OPA Policy-as-Code, and Kubernetes security hardening to maintain compliance and protect applications. My work with tools like HashiCorp Vault Integration and deep understanding of cloud security make me an asset to any team. As a dedicated DevOps Engineer and Cloud Engineer, I aim to deliver high-quality results, ensuring your systems remain resilient, scalable, and cost-effective. Let’s connect and transform your cloud journey with reliable, modern solutions! Services I Offer 🔹 DevOps & CI/CD Pipelines ● Build and maintain CI/CD processes with Jenkins, GitLab CI/CD, and Azure DevOps ● Automate deployments using Infrastructure as Code tools like Terraform and Ansible ● Implement blue/green, canary, or rolling deployment strategies 🔹 Cloud Engineering & Architecture ● Design scalable solutions on AWS and Azure ● Handle cloud migrations and hybrid architectures ● Optimize AWS EKS performance and Azure resources 🔹 Containerization & Orchestration ● Develop and deploy Dockerized applications ● Manage Kubernetes clusters and Helm charts ● Implement GitOps workflows using ArgoCD 🔹 Security & Compliance ● Harden Kubernetes security and enforce policies with OPA Policy-as-Code ● Integrate HashiCorp Vault for secrets management ● Ensure compliance and implement disaster recovery strategies 🔹 Cost Optimization & Monitoring ● Analyze cloud costs and implement savings strategies ● Set up Kubernetes cost monitoring ● Architect serverless solutions with EventBridge for efficient workflows

Your deploys are slow, your cloud bill keeps climbing, and one bad night could take production down. I fix infrastructure so it stops being the thing that wakes you up. I'm a Dev Ops and Cloud Infrastructure Engineer with 10 years building, automating, and securing production environments on OpenStack, OpenShift and Kubernetes. Top Rated on Upwork with a 100% Job Success Score across every engagement — clients keep me because I ship work that runs without me and scales without surprises. What I deliver 🚀 CI/CD Automation — GitHub Actions, GitLab CI, pipelines that take you from manual, error-prone releases to fast, zero-downtime automated deploys with rollback built in. ☁️ Cloud Infrastructure (Open Stack, AWS, Azure) — Production-grade environments designed for scalability, security, and cost from day one. Cloud architecture, Deployment and Operations. 📦 Kubernetes & Containers — Cluster setup, migration, and management on bare metal or self-managed clusters. Helm charts, Git Ops, auto scaling, zero-downtime cut overs, Docker containerization. 🏗 Infrastructure as Code — Terraform and Ansible environments that are version-controlled, auditable, and reproducible across every stage. No more manual config drift. 🐧 Linux Administration & Hardening — Server setup, performance tuning, security hardening, and Bash automation for environments that can't afford downtime. 📊 Monitoring & Observability — Prometheus, Grafana, and centralized logging so failures get caught before your users notice. Tech I work with daily · AWS · Azure · Docker · Terraform · Ansible · GitHub Actions · Git Lab CI · Jenkins · Helm · Prometheus · Grafana · Linux · Bash · Python I respond within 2 hours. Tell me what's breaking, slow, or expensive about your infrastructure and I'll tell you exactly how I'd fix it.

Are you looking for a Cloud or DevOps Engineer with extensive expertise in automation, cloud architecture, and security? I specialize in building scalable, secure, and automated infrastructures, and I can help you streamline operations and optimize your development pipelines. Key Areas of Expertise: ✔ Cloud Platforms: AWS, Google Cloud (GCP), Azure, DigitalOcean ✔ Containerization & Orchestration: Kubernetes, Docker, OpenShift ✔ Kubernetes Services: GKE, EKS, AKS ✔ Infrastructure as Code: Terraform, Ansible, Helm ✔ CI/CD Tools: GitLab CI, CircleCI, Jenkins, Azure DevOps, GitHub Actions ✔ Databases: MySQL, PostgreSQL, MongoDB, Redis ✔ Logging & Monitoring: ELK Stack (ElasticSearch, Logstash, Kibana), Fluentd, Grafana, New Relic, Datadog ✔ Load Balancing & Web Servers: NGINX, Apache, HAProxy With a focus on automation, reproducible infrastructure, and security, I have 7+ years of experience in designing and implementing cloud-native architectures and DevOps practices that streamline development and operations. I am passionate about building efficient, scalable, and secure systems to meet your business needs.

Mid-Senior DevOps | AI Engineer I design and operate production infrastructure while building AI-powered systems that integrate directly into real business workflows. My work spans cloud architecture, Linux systems, CI/CD, Kubernetes, Supabase, Cloudflare, and scalable backend infrastructure ,alongside AI integrations using Claude, ChatGPT, MCP servers, and custom automation pipelines. Core Expertise DevOps & Cloud Infrastructure (AWS, GCP, Azure, Hetzner) Kubernetes, Docker, CI/CD pipelines Linux server administration & automation Cloudflare, reverse proxies, DNS, SSL, networking Supabase & PostgreSQL platforms AI integrations with Claude & ChatGPT MCP server development & tool-calling systems API integrations & workflow orchestration Infrastructure security, staging, backups, and production hardening Recent Projects Built a production MCP server connecting ServiceM8 with Claude AI using 14 operational tools Managed a multi-server WordPress infrastructure fleet with 21 production websites Architected a multi-tenant Supabase platform for UK property compliance workflows Deployed and secured cloud environments with automated backups, staging systems, and CI/CD pipelines Implemented AI-powered workflows integrating external APIs, databases, and operational systems I work comfortably across the full stack of modern infrastructure and AI systems — from provisioning servers and securing production environments to building intelligent integrations that automate business operations. If you need someone who can both architect reliable infrastructure and build production-ready AI systems on top of it, let’s discuss your project.