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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.

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.

Most backend engineers can write code. Fewer can architect a system that holds up at scale, survives a traffic spike, and stays observable when something breaks at 2am. That's the gap I fill. I'm a Top Rated Plus engineer on Upwork with a 100% Job Success Score across 34 contracts and 4,600+ hours — working with clients from startups to enterprises across ticketing, marketplace, gaming, and HR domains since 2011. What I actually do: I design and build production-grade backend systems in Go — from the API layer down to the infrastructure. That means event-driven microservices with Kafka or RabbitMQ, containerized deployments on Kubernetes, full CI/CD pipelines, and cloud infrastructure on AWS, GCP, DigitalOcean, or Alibaba Cloud. I don't hand you a working local demo and disappear — I deliver something that runs reliably in production, with proper observability, testing at every layer, and documentation your team can maintain. Specifically, I can help you if: — Your monolith is becoming a bottleneck and you need to decompose it into services that scale independently — You're building a new product and need a senior engineer who can own the backend architecture from day one — Your Kubernetes setup is held together with hope and tribal knowledge, and you need someone to make it solid — You need CICD that actually works — automated testing, container builds, and deployments to staging and production without manual steps Tech I work with daily: Go · PostgreSQL · Redis · Kafka · RabbitMQ · Elasticsearch · Docker · Kubernetes · Helm · Terraform · AWS · GitHub Actions · GitLab CI · gRPC · REST How I work: I ask the right questions before writing the first line of code. I communicate in plain language, not jargon. I've worked in agile teams, solo, and everything in between — I adapt to your workflow, not the other way around. And I treat your codebase like I'll be the one maintaining it, because sometimes I am. If you need a senior engineer who thinks in systems, communicates clearly, and delivers work you won't have to redo — let's talk.

🎁 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

Your infrastructure should run itself, I make that happen. I'm a DevOps and cloud infrastructure engineer with 15+ years of hands-on experience, including 8+ years focused entirely on modern cloud environments (AWS, GCP, Azure) and Kubernetes-native architectures. What I typically deliver for clients: • CI/CD pipelines that cut deployment time from days to minutes • Kubernetes (K8s) clusters that are cost-optimized, secure, and self-healing • Cloud migrations with zero critical downtime • Observability stacks (Prometheus + Grafana + ELK) that catch issues before users do • Infrastructure-as-Code using Terraform and Ansible so nothing is manual I've worked across fintech, telecom, healthcare, enterprise, and government environments, sectors where reliability and compliance aren't optional. If your team is dealing with unreliable deployments, cloud cost overruns, or fragile infrastructure that needs a human to babysit it that's exactly what I fix. Message me and let's talk through your setup.

I take over Cloud (AWS, GCP) infrastructure that's scaling faster than your team can manage - and make it stable, observable, and cost-efficient. Recent work: Navya Network (Healthcare AI) - 4 months ongoing. Zero-downtime ECS Fargate migration, Databricks cost optimization, multi-region architecture. 99.9% availability with sub-second agent orchestration. Ockam (AI startup) - Led SOC2 compliance from scratch while rebuilding their platform architecture. Invesco (Fortune 500) - Migrated 500+ applications to AWS. Genentech - Built enterprise container platform that cut developer onboarding from weeks to days. What I deliver: Production Kubernetes and ECS at scale. Terraform infrastructure you can actually maintain. CI/CD pipelines that don't break. Observability that tells you what's wrong before customers do. How I work: Async-first, timezone-flexible. I document everything and build for handoff - you get infrastructure your team can run without me. Available for 2-4 week projects or longer engagements. Previously scaled a platform engineering practice from 12 to 150 engineers at Slalom Build. Now running Accelra Technologies and taking select consulting work.