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DevOps Engineer – 5.0 ⭐⭐⭐⭐⭐ "John is an exceptional talent with outstanding DevOps and Cloud expertise." I am John Ojabo, a Multi-Certified Cloud DevOps Engineer with 6+ years of experience helping startups, SMEs, and enterprises automate, optimize, and scale their infrastructure across GCP, AWS, and Azure. My mission is simple: 𝙙𝙚𝙨𝙞𝙜𝙣 𝙧𝙚𝙨𝙞𝙡𝙞𝙚𝙣𝙩 𝙘𝙡𝙤𝙪𝙙 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣𝙨 𝙩𝙝𝙖𝙩 𝙨𝙖𝙫𝙚 𝙘𝙤𝙨𝙩𝙨, 𝙞𝙣𝙘𝙧𝙚𝙖𝙨𝙚 𝙚𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙘𝙮, 𝙖𝙣𝙙 𝙚𝙣𝙨𝙪𝙧𝙚 𝙧𝙚𝙡𝙞𝙖𝙗𝙞𝙡𝙞𝙩𝙮 𝙖𝙩 𝙨𝙘𝙖𝙡𝙚. Over the years, I’ve successfully delivered projects involving zero-downtime migrations, enterprise-grade CI/CD pipelines, cost optimization strategies, and highly available Kubernetes deployments — all with measurable performance gains for my clients. CORE ACHIEVEMENTS & IMPACT 💰 Saved $20,000+ annually for clients by hosting static sites on Azure Storage and implementing strategic cloud cost optimizations. ⚡ Cut deployment time by 45% through fully automated CI/CD pipelines in Azure DevOps and GitHub Actions. 📈 Improved app performance by 35% via optimized migrations between GCP and Azure. 🛡️ Hardened infrastructure security, reducing vulnerabilities by over 40% with IAM policies, secret management, and network best practices. 📊 Enhanced database performance with Redis caching and PGbouncer pooling, reducing query times by 40%. WHAT I BRING TO YOUR PROJECT → Cloud Infrastructure Setup & Automation – Terraform, Ansible, AWS, GCP, Azure → Kubernetes Deployment & Scaling – GKE, AKS, EKS, Helm, Service Mesh → CI/CD Pipeline Design – Azure DevOps, Jenkins, GitHub Actions, Google Cloud Build → Cloud Migration & Modernization – Zero-downtime transitions across AWS, GCP, Azure → Monitoring & Observability – Prometheus, Grafana, Loki, ELK Stack, Cloud Logging → Security & Compliance – IAM, VPC, API Gateways, SSL/TLS, Vulnerability Management → Cost Optimization & Performance Tuning – Resource rightsizing, autoscaling, caching strategies 𝑊𝐻𝑌 𝑌𝑂𝑈 𝑆𝐻𝑂𝑈𝐿𝐷 𝐶𝐻𝑂𝑂𝑆𝐸 𝑀𝐸 𝑂𝑉𝐸𝑅 𝑂𝑇𝐻𝐸𝑅 𝐹𝑅𝐸𝐸𝐿𝐴𝑁𝐶𝐸𝑅𝑆   • I’m an out-of-the-box thinker and an innovative solutionist, always looking for smarter and more efficient ways to get results.   • I am proactive and go the extra mile to solve problems before they even arise.   • I value honesty and transparency; your project and data are always safe with me.   • I have strong communication skills, keeping you updated at every stage so you’re never left in the dark.   • I’m adaptable and flexible, able to quickly adjust to new challenges or changing project requirements.   • I prioritize deadlines and deliver on time without compromising on quality. PROVEN UPWORK TRACK RECORD GCP DevOps Engineer – 5.0 ⭐ "John is an exceptional talent with outstanding DevOps and Cloud expertise." Azure DevOps Engineer – 5.0 ⭐ "Way too smart for his age… happy to keep working with him." Senior GCP Engineer – 5.0 ⭐ "A true impressive addition to our team." Certifications & Credentials → Google Certified Professional Cloud DevOps Engineer → Google Certified Professional Cloud Security Engineer → HashiCorp Certified: Terraform Associate → AWS Certified Cloud Practitioner → Multiple Google Cloud Skill Badges in Kubernetes, Terraform, and Cost Optimization When you work with me, you get a partner who blends technical depth, business awareness, and clear communication to deliver solutions that work — the first time, every time. 📩 Let’s discuss how I can design, automate, and scale your cloud infrastructure for peak performance and efficiency.

I've cut AWS bills by 60%, maintained 99.9% uptime across 50-node EKS clusters, and shipped SOC2-compliant infrastructure for FinTech and SaaS companies - across 6+ years of hands-on cloud engineering. Whether you're a startup drowning in cloud costs, a SaaS company outgrowing your Kubernetes setup, or an enterprise navigating a SOC2 or GDPR audit - I've solved that exact problem, with numbers to back it. ▸ Kubernetes & EKS Architecture I design production-grade EKS clusters built to scale multi-AZ, auto-scaling with Karpenter, Spot Instance optimized, and GitOps-driven deployment pipelines. I've supported engineering teams of 10–50 engineers with infrastructure that doesn't create 2am incidents. ▸ FinOps & Cloud Cost Engineering I don't just trim costs I restructure how cloud spend works. Slashed cluster compute costs 60% via Karpenter + EC2 Spot strategy. Reduced CI/CD infrastructure costs 35% by migrating Jenkins pipelines to GitHub Actions. ▸ DevSecOps & Compliance Built GDPR and SOC2 Type II compliant infrastructure from scratch Zero-Trust IAM, AWS WAF, automated secrets rotation, CloudTrail audit logging, and compliance documentation. Experienced with HIPAA and PCI-DSS-ready architectures for FinTech clients. ▸ Observability & Reliability Full monitoring stacks with Prometheus, Thanos, Loki, and Grafana SLO dashboards, alerting runbooks, and incident response playbooks. I build for 99.9%+ uptime, not hope for it. Certified: AWS DevOps Engineer – Professional | AWS Solutions Architect – Associate | HashiCorp Terraform Associate (003) I work best with teams that want infrastructure they can trust clean IaC, documented runbooks, and systems built to last. Available for long-term platform engineering partnerships, DevOps retainers, and project-based engagements. Message me and we'll spend 15 minutes figuring out whether I'm the right fit for your infrastructure.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases in 3-5 days. I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients. I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems. 💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline. 🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments. 👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data. 🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems. ⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments. I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place. 🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure. 📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod

⭐ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐔𝐩𝐰𝐨𝐫𝐤 𝐃𝐞𝐯𝐎𝐏𝐬 & 𝐂𝐥𝐨𝐮𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐀𝐖𝐒 | 𝐆𝐂𝐏 | 𝐀𝐳𝐮𝐫𝐞 Most teams struggle with unstable deployments, rising cloud costs, and infrastructure that breaks when traffic grows. I help solve that by building secure, automated, and scalable DevOps systems that improve reliability, speed up delivery, and reduce cloud spending, without adding operational complexity. With 11+ years of experience in DevOps and cloud engineering, I design production-grade infrastructure for startups, SaaS platforms, and enterprises that need systems they can trust in real-world load conditions. 🚀 𝐖𝐡𝐞𝐫𝐞 𝐈 𝐀𝐝𝐝 𝐕𝐚𝐥𝐮𝐞 ✔ Reduce AWS/GCP costs by up to 40% through optimization and right-sizing ✔ Improve system uptime to 99.99% with resilient architecture ✔ Eliminate manual deployments using full CI/CD automation ✔ Strengthen security with DevSecOps best practices ✔ Scale applications smoothly using Kubernetes and cloud-native design ☁️ 𝐂𝐥𝐨𝐮𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 I design and manage scalable cloud systems tailored for performance and reliability. • AWS (EC2, ECS, EKS, IAM, VPC) • GCP (GKE, Cloud Run, Compute Engine) • Azure cloud infrastructure • Multi-cloud & hybrid cloud architectures • Migration of legacy systems to cloud-native platforms ⚙️ 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂) I replace manual infrastructure work with fully automated, version-controlled systems. • Terraform • Ansible • CloudFormation • Helm • Pulumi ## 🐳 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 & 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 I build containerized environments that are easy to scale and maintain. • Docker containerization • Kubernetes (EKS, GKE, AKS) • Helm deployments • Istio service mesh 🔄 𝐂𝐈/𝐂𝐃 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 I remove deployment bottlenecks by building fast and reliable delivery pipelines. • Jenkins • GitHub Actions • GitLab CI/CD • Azure DevOps • Bitbucket Pipelines • CircleCI 🚀 𝐆𝐢𝐭𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 Modern deployment approaches that improve reliability and rollback safety. • Argo CD • Flux CD • Blue/Green deployments • Canary releases 📊 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 I ensure full visibility into your systems so issues are detected before they impact users. • Prometheus • Grafana • ELK / EFK Stack • Datadog • CloudWatch • Google Stackdriver 🔐 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐃𝐞𝐯𝐒𝐞𝐜𝐎𝐩𝐬 Security is built into every layer of the infrastructure I design. • Vault & secrets management • AWS Secrets Manager • SSL/TLS automation • IAM & access control design • Compliance-ready infrastructure 💰 𝐂𝐥𝐨𝐮𝐝 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 I help teams reduce unnecessary cloud spending without affecting performance. • Resource optimization & right-sizing • Auto-scaling strategies • Architecture cost audits • Performance tuning 🛠️ 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫 • Cloud migration & modernization (AWS / GCP / Azure) • Kubernetes cluster setup & scaling • CI/CD pipeline design & automation • Infrastructure automation (Terraform / Ansible) • DevSecOps implementation • Monitoring & alerting setup • Incident troubleshooting & performance optimization I also lead a team of 20+ DevOps engineers, allowing me to handle projects ranging from startup infrastructure setups to enterprise-scale cloud transformations. 💡 If you're facing deployment delays, high cloud bills, or unreliable infrastructure, I can help you build a system that is secure, scalable, and fully automated. Send an invite and let’s discuss your setup.

Most cloud environments don't fail because of bad intentions they fail because reliability, security, and delivery were never engineered together from the start. Over 13 years I have designed and operated cloud platforms for organizations where downtime, misconfigurations, and compliance gaps carry real consequences Bank of America, Fiserv, and the Federal Reserve Board. That experience shaped how I think about every engagement: architecture first, automation always, reliability non-negotiable. Here is where I add measurable value: Cloud Migration & Architecture: Designing resilient, cost-optimized multi-cloud environments across AWS and Azure, built for scale and aligned with business objectives from day one. CI/CD & DevOps Automation: Implementing Terraform, Ansible, Kubernetes, and pipeline automation that standardizes delivery, eliminates manual bottlenecks, and reduces deployment risk significantly. SRE & Observability: Building monitoring, alerting, and incident response frameworks using Prometheus, Grafana, Datadog, and ELK that give engineering teams real visibility, not just dashboards. Security & Compliance: Hardening infrastructure against real threats while maintaining PCI-DSS, SOX, and ISO 27001 alignment across regulated and high-growth environments. Whether you are a scaling startup needing a solid foundation or an enterprise team modernizing legacy infrastructure, I bring senior architecture thinking with hands-on execution no handoffs, no gaps. Certifications: AWS Solutions Architect | RHCE | CCNA | CompTIA A+, N+, S+ Open to a quick call to review your current setup and identify exactly where I can add value.

DevOps Engineer & Kubernetes Expert | Top Rated Plus | 100% Job Success | $200K+ Earned | 60+ Happy Clients As a Senior DevOps Engineer with 8+ years of hands-on experience, I deliver production-grade DevOps solutions and Kubernetes infrastructure that scale. I am a certified Kubernetes administrator (CKA, CKS, CKAD, KCNA, KCSA) and DevOps professional (AWS SA, Azure DevOps Expert, Terraform Associate, ArgoCD GitOps). What I Do as a DevOps Engineer: As a DevOps engineer, I design and implement end-to-end CI/CD pipelines, Kubernetes clusters, and cloud infrastructure on AWS, GCP, and Azure. My DevOps approach focuses on automation, reliability, and security — following SRE best practices. Kubernetes & Container Orchestration: As a Kubernetes expert, I architect and manage production Kubernetes clusters (EKS, GKE, AKS) with GitOps (ArgoCD, FluxCD), service mesh (Istio, Cilium), autoscaling (HPA, VPA, Karpenter, KEDA), and observability (Prometheus, Grafana, OpenTelemetry). My Kubernetes experience spans multi-cluster management, zero-downtime deployments, and Kubernetes security hardening. DevOps & CI/CD Automation: As a DevOps specialist, I build robust CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and Tekton. My DevOps pipelines include container image building (Docker, Kaniko), security scanning (Trivy, Snyk), infrastructure as code (Terraform, Pulumi, Ansible), and automated deployments via GitOps. Cloud Infrastructure & Platform Engineering: As a DevOps and cloud engineer, I design scalable infrastructure on AWS (EC2, EKS, Lambda, S3, CloudFront), GCP (GKE, Cloud Run, Cloud SQL), and Azure (AKS, Container Apps). I build internal developer platforms (Backstage, Port) and implement FinOps practices for cloud cost optimization. DevOps Security (DevSecOps): As a DevOps security engineer, I implement zero-trust networking, secrets management (HashiCorp Vault, External Secrets Operator), policy engines (Kyverno, OPA), runtime security (Falco, Tetragon), and supply chain security (Sigstore, Cosign, SLSA). Observability & SRE: As a DevOps engineer focused on reliability, I implement comprehensive monitoring with Prometheus, Grafana, Loki, Tempo, and OpenTelemetry. I define SLOs, error budgets, and multi-burn-rate alerting following Google SRE practices. Key DevOps & Kubernetes Achievements: - Managed 70+ VMs, 3 GKE Autopilot clusters, and 50+ microservices in production - Reduced cloud costs by 35% through FinOps optimization and CUD purchasing - Built GitOps pipelines with ArgoCD serving 12+ environments - Implemented ISO 27001 compliance with automated security controls - Migrated legacy applications to Kubernetes with zero downtime DevOps Tools: Docker, Kubernetes, Helm, ArgoCD, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI Kubernetes Tools: Kustomize, Kargo, Istio, Cilium, Karpenter, KEDA, cert-manager, External Secrets Cloud: AWS, GCP, Azure, DigitalOcean | Monitoring: Prometheus, Grafana, Datadog, OpenTelemetry DevOps Security: Vault, Falco, Trivy, Kyverno, OPA | IaC: Terraform, Pulumi, CloudFormation #DevOps #DevOpsEngineer #Kubernetes #KubernetesExpert #AWS #GCP #Azure #GitOps #ArgoCD #Terraform #Docker #CI/CD #SRE #PlatformEngineering #CloudNative #DevSecOps #Helm #Istio #Prometheus #Grafana