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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 𝐡𝐞𝐥𝐩 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬, 𝐂𝐓𝐎𝐬, 𝐚𝐧𝐝 𝐀𝐈/𝐌𝐋 𝐭𝐞𝐚𝐦𝐬 deploy, scale, and maintain production-ready AI systems using MLOps, LLMOps, DevOps, cloud infrastructure, and full-stack engineering. If you have an AI prototype, ML model, RAG application, AI agent, data pipeline, or SaaS platform that needs to become stable, scalable, and ready for real users, I can help. Many AI projects work well in notebooks, demos, or internal tests, but start breaking when real users, real data, cloud costs, latency, monitoring, and deployment complexity come in. My focus is to 𝐬𝐨𝐥𝐯𝐞 𝐭𝐡𝐚𝐭 𝐠𝐚𝐩 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐚𝐧𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. I am Sami, leading a team of experienced full-stack, AI, DevOps, MLOps, and cloud engineers. We design, build, deploy, and scale AI-powered applications with strong backend architecture, CI/CD pipelines, observability, automation, and production-grade infrastructure. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐘𝐨𝐮 𝐖𝐢𝐭𝐡 𝗠𝗟𝗢𝗽𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 and implementation 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 and model serving 𝗟𝗟𝗠𝗢𝗽𝘀 for RAG systems, AI agents, and LLM applications 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 for AI, ML, backend, and full-stack systems 𝗗𝗼𝗰𝗸𝗲𝗿, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, Helm, Terraform, ArgoCD, and GitOps workflows 𝗖𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 on AWS, Google Cloud Platform, and Azure 𝗗𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, ETL workflows, Airflow, DVC, Kafka, and Azure Data Factory 𝗠𝗼𝗱𝗲𝗹 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, logging, alerting, observability, and drift detection 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗔𝗣𝗜 development and third-party integrations 𝗖𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, FinOps, and performance optimization 𝗦𝗲𝗰𝘂𝗿𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, and maintainable web and mobile applications 𝐂𝐨𝐦𝐦𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐈 𝐒𝐨𝐥𝐯𝐞 "We have an AI prototype, but need to deploy it properly." "Our ML model works locally, but not reliably in production." "We need CI/CD, Docker, Kubernetes, or cloud infrastructure for our AI product." "Our LLM app or RAG system is slow, costly, or hard to monitor." "We need better observability, logging, and monitoring for our AI workflows." "We need a technical team that understands full-stack development, DevOps, MLOps, and AI engineering together." 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐡 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React.js, Next.js, Vue.js, TypeScript 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Node.js, Python, FastAPI, Django, Flask, Golang 𝗔𝗜/𝗠𝗟: OpenAI API, Hugging Face, TensorFlow, PyTorch, LangChain, LangGraph, LangSmith 𝗠𝗟𝗢𝗽𝘀/𝗟𝗟𝗠𝗢𝗽𝘀: Airflow, DVC, Weights & Biases, Kubeflow, DagsHub, ML pipelines, model monitoring, AI workflow automation 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀: AWS, GCP, Azure, Docker, Kubernetes, Terraform, Helm, ArgoCD, GitHub Actions, GitLab CI/CD, Jenkins, Ansible 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Prometheus, Grafana, ELK Stack, OpenTelemetry 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, MongoDB, Redis, Firebase 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: ETL pipelines, Kafka, S3, Azure Blob Storage, Azure Data Factory 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐖𝐞 𝐇𝐚𝐯𝐞 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡 We have worked with startups and growing companies across SaaS, healthcare, fintech, lawtech, edtech, aviation, marketing, eCommerce, automation, and AI products. 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐔𝐬 1. 𝟵𝟮% 𝗼𝗳 𝗼𝘂𝗿 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 are long-term partners. We work closely with founders, CTOs, startups, and enterprise teams to build systems that are not just functional, but scalable, maintainable, and ready for real users. 2. We have helped launch startups that 𝗿𝗮𝗻𝗸𝗲𝗱 #𝟭 𝗼𝗻 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗛𝘂𝗻𝘁 and have worked with 𝗬𝗖 𝗮𝗹𝘂𝗺𝗻𝗶 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 to turn early-stage ideas into production-ready platforms used by real customers. 3. Our strength is combining 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗱𝗲𝗽𝘁𝗵. We do not just build features; we think about reliability, deployment, monitoring, performance, security, cost, and long-term scalability from the beginning. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐀𝐧𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐖𝐞 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐁𝐮𝐢𝐥𝐝 𝐎𝐫 𝐒𝐜𝐚𝐥𝐞 AI-powered SaaS platforms RAG applications and AI agents ML model deployment systems Data and ETL pipelines Multi-tenant SaaS platforms Cloud-native applications Internal automation tools CRM, ERP, EHR/EMR, and case management systems Booking and reservation platforms Customer portals and marketplaces Mobile and progressive web applications 📩 If you are building an AI product, ML platform, data pipeline, or SaaS application and need help making it production-ready, scalable, and reliable, 𝐥𝐞𝐭’𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭.

Looking for a DevOps Engineer who can automate deployments, optimize cloud infrastructure, reduce costs, and build scalable systems? You're in the right place. I'm a DevOps Engineer with 11+ years of experience helping startups, SaaS companies, eCommerce, FinTech, healthcare, and enterprise businesses build secure, scalable, and highly available cloud infrastructure. I help clients: Reduce AWS & GCP cloud costs by up to 40% Achieve 99.99% uptime with reliable infrastructure Automate deployments using modern CI/CD pipelines Deploy production-ready Kubernetes environments Improve security with DevSecOps best practices I also lead a team of 20+ experienced DevOps engineers, enabling us to deliver projects of any size, from infrastructure optimization to complete cloud transformations. Services I Provide ✅ DevOps Engineering & Cloud Infrastructure ✅ AWS, GCP & Azure Cloud Solutions ✅ Cloud Migration & Infrastructure Modernization ✅ Docker Containerization ✅ Kubernetes (EKS, GKE, AKS) ✅ Infrastructure as Code (Terraform, Ansible, CloudFormation, Pulumi) ✅ CI/CD Pipelines (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, CircleCI, Bitbucket) ✅ GitOps (Argo CD, Flux CD) ✅ Linux Server Administration ✅ DevSecOps & Security Hardening ✅ SSL/TLS Certificate Installation & Automation ✅ Monitoring & Logging (Prometheus, Grafana, ELK, Datadog, CloudWatch) ✅ Cloud Cost Optimization Technical Expertise Cloud Platforms: AWS, Google Cloud (GCP), Microsoft Azure Containers: Docker, Kubernetes, Helm, Istio Infrastructure as Code: Terraform, Ansible, Pulumi, CloudFormation CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, CircleCI, Bitbucket Pipelines Monitoring: Prometheus, Grafana, ELK/EFK, Datadog, CloudWatch Security: DevSecOps, Vault, AWS Secrets Manager, IAM, SSL/TLS Why Work With Me? ✔ 11+ years of DevOps Engineering experience ✔ Proven expertise in AWS, GCP, Kubernetes, Docker, and Terraform ✔ Secure, scalable, and production-ready infrastructure ✔ Team of 20+ DevOps engineers for enterprise-scale projects ✔ Clear communication, fast response times, and reliable delivery Whether you need a DevOps Engineer for cloud migration, Kubernetes deployment, CI/CD automation, Infrastructure as Code, DevSecOps, Linux administration, or cloud cost optimization, I'm ready to help. Send me a message or invite me to your job, and let's build reliable, scalable, and automated infrastructure for your business.

20-year Solution Architect and Fractional CTO helping Series A–C SaaS scale-ups and Fortune 500 teams ship cloud-native, AI-powered systems that don't break at 10× load. DevOps, Software Architecture, AI consulting — delivered, not theorized. If your roadmap has any of these on it — a cloud migration that's slipping, an AI/LLM feature that demos well but won't survive production, a monolith you need to break up without freezing the product team, or a DevOps platform that's burning cash and on-call time — I've shipped that exact engagement before, more than once. What I do (and have done for 20 years): ✅ Solution & Software Architecture — system design, domain modeling, microservices vs. modular monolith trade-offs, event-driven & API-first platforms, architecture reviews and ADRs your team will actually follow ✅ DevOps, Cloud & Platform Engineering — AWS / Azure / GCP, Kubernetes (EKS/AKS/GKE), Terraform, CI/CD, FinOps cost reduction, SRE / observability, zero-downtime migrations ✅ AI Consulting & AI Solutions Architecture — production LLM / RAG systems, agentic workflows, AI strategy roadmaps, build-vs-buy decisions, model selection, evaluation harnesses, vector DBs, secure enterprise AI ✅ Fractional CTO & Tech Due Diligence — for founders pre-Series A through Series C; for PE / VC pre/post-investment For startups & scale-ups: I move at founder-speed. MVP architectures that won't need a rewrite at Series B, AI features you can actually ship, hiring plans for your first 5 engineers, and an architecture roadmap your investors will respect. For enterprises: I bring TOGAF-style rigor without the consultancy bloat — solution architecture, cloud migration strategy, vendor-neutral AI roadmaps, security/compliance-aware design (SOC 2, ISO 27001, HIPAA, GDPR), and stakeholder-ready documentation. Selected outcomes from the last 20 years: 🏆 Cut cloud spend 41% and shortened deploy time from 45 minutes to under 5 minutes for a SaaS platform serving 12M users 🏆 Designed the AI/RAG architecture that took a B2B SaaS from PoC to production with 30+ enterprise customers in 5 months 🏆 Re-architected a legacy monolith into modular services with zero customer-facing downtime over 7 months 🏆 Led DevOps platform builds (Terraform + Kubernetes + GitOps) that cut on-call pages by 70% and onboarding from weeks to days How I work: small commitments first. Most engagements start with a paid 60-minute architecture call or a 1–2 week assessment, so we both know it fits before you commit to a long retainer. I write things down. I document decisions. I leave your team better than I found it. What I won't do: rewrite-the-world projects with no executive sponsorship, "just do everything yourself" engagements with no engineering team to hand off to, or AI demos that aren't on a path to production. Send me a paragraph about your stack, your team size, and the outcome you need in the next 90 days. I'll come back inside 24 hours with a short, specific point of view not a sales pitch. If we're a fit, we'll book a working call from there.

I build production AI agents and custom MCP servers for business. Not demos: systems that run real processes 24/7, documented and monitored. 100% Job Success, Top Rated. Portfolio: pablodelarco .com What I do 🤖 AI Agents: agentic workflows with Claude Code, LangChain, LangGraph, CrewAI and n8n. 🔌 Custom MCP Servers: connect Claude to your real systems (billing, CRM, databases, APIs). ☁️ AI Infrastructure: Kubernetes with GitOps (ArgoCD, Helm, CI/CD), on your cloud or on-prem. ✍️ Technical Writing: docs and guides for AI, cloud and Kubernetes. 350+ Medium followers, featured by Cilium. Recent work • Arco Rooms: autonomous property management platform, 29 automated jobs across real estate, banking and BI. • AgentBloc: open-source framework that turns a workflow description into an agent team. • finetwork-mcp: MCP server exposing a telecom's invoices and billing to any MCP client. Why me: AI Cloud Engineer at OpenNebula Systems (EU-funded cloud projects). Speaker at FOSDEM, foss-north and NexusForum. Double MSc in Telecom & Cloud Computing (EURECOM 🇫🇷 + Aalto 🇫🇮). Everything gets tested on my own Kubernetes cluster first. Tell me which process is eating your team's hours and I will tell you if an agent can run it. I reply within 24 hours.

Most infrastructure engineers can set up a cluster. Few have deployed production AI stacks on top of one. I'm a CKA-certified Kubernetes engineer. I work with startups that need someone who can own infrastructure end-to-end from bare-metal cluster bootstrap to self-hosted LLM deployment and stay accountable when things break in production. Where I add value others don't: Self-hosted AI stacks in production: Ollama, Weaviate, vector DBs, RAG pipelines on K8s Multi-tenant Kubernetes architecture with namespace isolation, NetworkPolicies, RBAC Zero-trust networking with Netbird and Wireguard Security-aware pipelines: OWASP ZAP scanning, Vault, CIS hardening Full observability: Prometheus, Grafana, Loki, alerting, runbooks Core stack: Kubernetes · Docker · Terraform · GitHub Actions · GitLab CI · Jenkins · Prometheus · Grafana · AWS · Linux My clients describe me as someone who communicates clearly, solves problems fast, and doesn't disappear when things get hard. If you need infrastructure that holds under pressure, let's talk.