Hire the Best Cloud Foundry Specialists

Your infrastructure breaks at 2 AM. Your deploys take 45 minutes. Your AWS bill climbed 40% and nobody can explain why. I fix all three - and I've done it 100+ times on this platform. Former SRE Lead at Yellow AI (100M+ users, AWS + on-prem). Now I run Skybyte, a DevOps and cloud consulting practice focused on startups and mid-market teams that need senior infrastructure work without the senior hire. What 61+ Upwork jobs and a 100% Job Success Score actually look like: Cloud cost optimization - cut AWS/Azure/GCP spend by 40-60% through right-sizing, Reserved Instances, spot fleets, and architecture cleanup. Not guesswork; I run the cost audit, build the dashboard, and hand you the savings. Kubernetes migration and management - moved production workloads to EKS, AKS, and self-managed clusters on Hetzner. Helm charts, ArgoCD GitOps, zero-downtime cutovers. I've handled clusters running 200+ pods and clusters running 6. CI/CD pipeline engineering - GitHub Actions, GitLab CI, Azure DevOps Pipelines, Bitbucket Pipelines. Took teams from 45-minute manual deploys to sub-5-minute automated releases with rollback built in. Infrastructure as Code with Terraform - full AWS, Azure, and GCP environments defined in Terraform modules. State management, drift detection, and PR-based infrastructure reviews that your team can maintain without me. DevSecOps and compliance - SOC 2 infrastructure from scratch, cloud security audits, Cloudflare WAF and DDoS protection, network security architecture, and DPDP-aligned data handling. I've built the controls and written the documentation auditors actually accept. Monitoring, observability, and SRE - Prometheus, Grafana, OpenTelemetry, Datadog, PagerDuty. Full observability stacks that catch failures before your users file tickets. I set up SLOs, runbooks, and on-call workflows. Beyond core DevOps - SSO/SAML integration, n8n workflow automation, MLOps pipelines, Docker deployments on bare metal and VPS, GCP Cloud Run serverless, and technical documentation your team won't ignore. I work best with funded startups burning money on cloud, engineering teams stuck in deployment hell, and companies scaling past the point where one developer can manage the infrastructure part-time. Stack: AWS (EKS, EC2, Lambda, RDS, S3) · Azure (AKS, DevOps, AD) · GCP (GKE, Cloud Run) · Kubernetes · Helm · Terraform · Docker · GitHub Actions · GitLab CI · ArgoCD · Prometheus · Grafana · OpenTelemetry · Datadog · Cloudflare · n8n Not a "set it up and disappear" contractor. I document everything, train your team, and build systems designed to run without me and scale.

Google-Grade Reliability for Your Cloud Infrastructure. GCP 10x Certified, AWS 1x Certified, Databricks 1X certified Senior Infrastructure Architect and former Google SRE (11 years) and Oracle Engineer with over 25 years of experience managing global-scale production environments. If you are looking for a "pair of hands" to write scripts, there are many options. If you are looking for an Owner-Architect to design, secure, and scale your business-critical infrastructure with zero-risk execution, let’s talk. With 10x GCP Professional Certifications, I specialize in taking complex, high-traffic ecosystems and making them resilient, cost-effective, and simple to manage. Expertise Across the Stack: Cloud Architecture: Expert-level design and migration across GCP, AWS, and Hybrid Cloud. DevOps & SRE: Implementing "True SRE" principles—SLOs, error budgets, and automated toil reduction. Infrastructure as Code (IaC): Building reproducible, version-controlled environments using Terraform, Helm, Ansible, and Packer. Kubernetes & Orchestration: Deep experience with GKE, EKS, and self-managed clusters (Rancher). Security & Compliance: Hardening infrastructure via VPC Service Controls, Zero-Trust IAM, and automated security pipelines. CI/CD Optimization: Streamlining delivery via Jenkins, GitHub Actions, and Google Cloud Build. Why Work With Me? The "Google" Standard: I apply the same rigor and reliability standards I used at Google to your infrastructure, ensuring 99.9% availability. Cost Efficiency: I specialize in cloud cost optimization, often saving my clients more in monthly cloud spend than the cost of my engagement. Simplicity at Scale: I believe the best architecture is the simplest one that solves the problem. I build systems that your team can actually maintain. Technical Proficiencies: Linux: 20+ years of deep systems-level expertise (RHEL, Debian, Ubuntu). Automation: Puppet, Ansible, Terraform. CI/CD: Jenkins, Artifactory, GitHub, Cloud Build. Containers: Docker, Kubernetes, Container Registry.

Full time freelancer | 🏆 Top 1% Talent on Upwork | Top Rated ⭐️ DevOps & Cloud Engineer and Full Stack Developer | Automation Expert | Certified Multi-Cloud Architect 🏆 What do I offer: 1- 100% work satisfaction 2- 24/7 Support 3- On-time delivery 4- Enterprise quality 🚀 DevOps Engineering | Full Stack Development | CI/CD | Infrastructure Automation | Cloud Automation Designing and deploying secure, scalable, and highly available infrastructure tailored to your business needs. Providing end-to-end project support for smooth deployments and seamless integrations. Offering custom training and mentoring to help teams quickly adopt DevOps best practices. 🔧 Scripting & Automation | Linux | Monitoring & Optimization Expert in Bash, Python, and other scripting languages to automate workflows, boost efficiency, and minimize errors. Creating reusable scripts and solutions that streamline processes and enhance system reliability. Implementing monitoring and optimization strategies for better performance and troubleshooting. Full Stack Development ✔Frontend: React.js, Next.js, Vue.js ✔Backend: Java, Django Python, Node.js, Express.js, Django, FastAPI, Flask ✔Databases: Oracle,MongoDB, PostgreSQL, Firebase, Redis ☁️ Cloud Architecture & Consulting | AWS | Azure | GCP Certified multi-cloud architect guiding businesses through migration, setup, and optimization on AWS, Azure, and GCP. Extensive experience with tools like Docker, Kubernetes, Terraform, and more to build modern infrastructure. Focused on cost efficiency, security, scalability, and performance tuning for cloud-native solutions. ✅ What Clients Can Expect: ✔ Reliable, on-time delivery and fast, clear communication ✔ High-quality, maintainable code designed for growth ✔ Proactive support during and after the project lifecycle ✔ Practical, results-driven solutions customized for your goals Why Work With Me? 7+ years of hands-on experience in cloud architecture, infrastructure automation, and scripting across industries. Deep knowledge of UNIX/Linux systems, Kubernetes, Terraform enabling robust and optimized solutions. Expertise in CI/CD pipelines using Jenkins, GitHub Actions, GitLab, and other tools—helping startups and enterprises accelerate deployments. Proven mentor, having guided engineers to tackle real-world challenges effectively. If you're looking to transform your infrastructure, automate workflows, or implement cloud solutions with reliability and efficiency, let's connect and create something exceptional.

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

If your cloud infrastructure is becoming expensive, insecure, or difficult to scale I can help you fix it and future-proof it. I’m a DevOps and Cloud Security engineer with 7+ years of hands-on experience working with startups and multinational companies across the US, UK, and UAE. I design and implement secure, scalable, and cost-efficient cloud environments across AWS, Azure, GCP, and DigitalOcean. Here’s how I help my clients: **DevOps Engineering (AWS, Azure, GCP, DigitalOcean):** I build and optimize CI/CD pipelines, automate infrastructure using Terraform, and implement Kubernetes-based deployments to ensure fast, reliable releases. **Cloud Security:** I design and manage end-to-end deployment workflows, build and optimize secure CI/CD pipelines, and automate infrastructure using Infrastructure as Code (Terraform, CloudFormation). I implement Kubernetes-based deployments and orchestration, integrate CI/CD security practices (SAST, DAST, container scanning), and set up automated notifications and alerting to ensure fast, reliable, and controlled releases with zero downtime. **Cloud Migrations:** I execute end-to-end cloud migrations across AWS, Azure, GCP, DigitalOcean, and Linode. I also specialize in moving workloads from AI-builder platforms like Replit, Anything, and Kimi to secure, production-ready cloud environments. **Compliance & Audit Readiness:** I prepare organizations for SOC 2 Type I & II, ISO 27001, HIPAA, PCI DSS, and GDPR, both manually and using platforms like Vanta and Drata overing policies, controls, and technical implementation. **Cloud Cost Optimization:** I optimize cloud costs by identifying waste and right-sizing resources. Proven results include up to 50% cost reduction with no compromise on performance, scalability, reliability and security. **Monitoring & Observability:** I implement end-to-end monitoring and observability using Prometheus, Grafana, New Relic, ELK Stack, and Splunk. With custom alerting, I ensure issues are detected and resolved before they impact users. I don’t just deploy tools I design and build secure, scalable, and production-ready systems engineered for reliability, compliance, and long-term growth. My approach focuses on minimizing operational risk, strengthening security, and giving you complete visibility and control over your infrastructure from day one. Whether you need support with DevOps, cloud architecture, security hardening, infrastructure migration, CI/CD, or compliance initiatives, I’d be happy to discuss how I can help drive your project forward. **Tools & Technologies:** - Public Clouds: AWS, Azure, GCP - AWS: EC2, RDS, Code Pipeline, S3, System Manager, VPC, IAM, Route 53, SQS, EKS, Secrets Manager, WAF, ECS, Config, SNS, Security Hub, Inspector, Guard Duty, EC2 Image Builder, EKS, Amplify, Elastic Beanstalk - GCP: VPC,GKE, CloudRun, CloudArmor, Load Balancer, Bucket, Redis, Domain, Certificate Manager - Azure: VNet, Virtual Machine, Azure DevOps, Azure Foundry, Azure Open Air Search, App Service - OS Platforms: Debian based linux systems and Windows Server - SCM/Version control: GitHub, CodeCommit - CI Tools: Jenkins, CodePipelines - Containerization & Orchestrations: Docker, ECS, Kubernetes - Monitoring: Sensu, Uptime Robot, Data Dog - IaaC: Terraform - Database: RDS (Postgres/MSSQL) - Programming & Scripting: Bash, Python - Security Compliance: SOC (I & II), HIPAA - XDR Platform: Sentinelone, Trend Micro Deep Security - CSPM: Prisma Cloud by Palo Alto Networks, Microsoft Defender for Cloud - SAST Platforms: Sonarqube, Snyk, veracode - Container Scan: Accuknox, Trivy, Snyk Container - DAST Platforms: OWASP Zap, Stackhawk - Security Tooling: Prowler, Scoutsuite, Nmap, Scapy, Metasploit, Burp Suite, Nessus, WireShark, WPScanner, Sqlmap, OWASP ZAP

I help AI startups and SaaS teams move AI systems from prototype to production on AWS and Azure. Most AI products work in a demo but fail when real users, real data, latency, security, cost, and deployment issues come in. My work is focused on fixing that gap. I build and deploy production-ready MLOps, RAG, MCP server, and cloud infrastructure systems using AWS, Azure, Kubernetes, Terraform, CI/CD, monitoring, and secure backend APIs. What I can help with: AWS and Azure MLOps I deploy ML models, inference APIs, and retraining pipelines using AWS SageMaker, Lambda, API Gateway, ECS, EKS, Azure App Services, Azure Functions, Azure AI Search, Docker, Kubernetes, and Terraform. RAG and LLM infrastructure I build reliable RAG systems using LangChain, LangGraph, LlamaIndex, pgvector, Pinecone, Supabase, OpenSearch, PostgreSQL, and Azure AI Search. I focus on retrieval quality, speed, fallback logic, logging, source traceability, and production stability. MCP servers and AI agent infrastructure I have built an MCP server for a local ERP system so users could interact with their internal business software through an LLM. I can design secure MCP servers that connect AI agents with databases, APIs, ERP systems, cloud resources, and internal tools. Cloud DevOps and CI/CD I build and fix production infrastructure using Terraform, GitHub Actions, Jenkins, AWS CodePipeline, Docker, Kubernetes, CloudWatch, Grafana, Prometheus, Nginx, PostgreSQL, and secure deployment workflows. Recent proof from my work: - Completed a $6,000 Vertex AI Pipeline project using Python/KFP - Deployed a scikit-learn model on AWS SageMaker with API Gateway, Lambda, and a Python tester - Built production RAG pipelines using Supabase pgvector, RunPod, and LLM workflows - Built an MCP server for a local ERP system to expose business actions through an LLM - Set up PostgreSQL and K3s on on-prem servers using Ansible - Migrated 17+ microservices to cloud-native infrastructure - Reduced cloud infrastructure cost by 30% - Improved deployment efficiency by 50% through CI/CD automation - Built AWS ECS/EKS systems with monitoring, auto-recovery, and high availability I am a good fit if you need: - AI or ML model deployment on AWS or Azure - RAG system cleanup, optimization, or production deployment - MCP server development for internal tools or SaaS platforms - CI/CD and cloud infrastructure for AI applications - Kubernetes, Terraform, monitoring, and cost optimization - Production support for broken or half-finished AI/cloud systems I care about business outcomes first: reliable deployments, lower cloud cost, faster releases, safer infrastructure, and AI systems that clients can actually use in production. Available for AWS, Azure, MLOps, RAG, MCP server, DevOps, and production AI infrastructure projects.