Hire the Best DevOps Engineers

I’m a Senior DevOps / Platform Engineer with 15+ years of hands-on experience in Infrastructure and 8+ years focused on modern cloud-native systems across GCP, AWS, Kubernetes, and infrastructure automation. What I can help you with: CI/CD pipelines that reduce release time and deployment risk. Kubernetes platforms that are secure, stable, and easy to operate. Cloud infrastructure on GCP and AWS using Terraform, Ansible, and GitOps. Observability stacks with Prometheus, Grafana, and ELK for faster incident detection. Performance, reliability, and cost optimization for production systems. I’ve worked across fintech, telecom, healthcare, enterprise, and government environments where uptime, security, and compliance matter. If your team needs someone who can improve platform reliability, automate delivery, and clean up cloud complexity, I can help.

I was the CTO of Source Digital (a $100m AI video platform), the Technology Director at Temple University CPHLR (Center for Public Health Law Research), and the head of R&D at Loyalty Methods (One of the largest loyalty platforms on Earth). I've worked directly with Google, the United Nations, Deepmind, Amazon, Walmart, Comcast and other large names. I've managed 300+ engineers, designed architecture that's sold for more than $100m and licensed for more than $5.7m, and personally built 5 platforms from scratch that sold for over $50m. I've been writing code full time for over 30 years. I'm super easy to work with, punctual, no-nonsense, respectful, brutally honest and I've probably done what you're looking to achieve several times over (and if not I'll tell you immediately). I help startups and enterprises build production software that scales. With 20+ years of engineering experience, I deliver end-to-end solutions across AI, mobile, backend, cloud, and automation, from architecture and implementation to deployment and long-term support. I also build analytics, marketing automation, and data platforms, helping businesses measure user behavior, optimize conversions, and automate operations using modern analytics and AI tooling. 🏆 Selected Highlights ✅ Production mobile apps with millions of downloads across iOS & Android ✅ AI-powered platforms serving Amazon Prime, Disney+, Discovery & Universal ✅ Clinical SaaS platform acquired for $53M ✅ Enterprise data systems supporting 3,143 US counties ✅ Production SDKs contributing to $5.7M in licensing deals ✅ Delivered $3.1M in annual operational savings with 377% productivity improvement 💡 Core Expertise 🤖 AI & LLM • Claude • OpenAI • MCP • RAG • AI Agents • LangGraph • Vector Search • Prompt Engineering ⚙️ Backend • Python • FastAPI • Node.js • TypeScript • PostgreSQL • REST • GraphQL • Microservices 📱 Mobile • React Native • Flutter • Swift • Kotlin • Expo • BLE • Firebase • App Store & Google Play ☁️ Cloud & DevOps • AWS • Azure • GCP • Docker • Kubernetes • Terraform • GitHub Actions • CI/CD 📊 Analytics & Data • Google Analytics 4 (GA4) • Google Tag Manager (GTM) • Looker Studio • Google Search Console • PostHog • Mixpanel • BigQuery • Snowflake • A/B Testing • Event Instrumentation • Conversion Tracking • Product Analytics 📈 Marketing & Growth • HubSpot • Shopify • Stripe • Meta Marketing API • Facebook Conversions API (CAPI) • Google Ads • Klaviyo • CRM Automation • Email Marketing • Lead Tracking 🔗 Automation & Integrations • n8n • Make • Zapier • Twilio • Microsoft Graph API • Shopify APIs • Google APIs • Slack API • Webhooks 🔒 Security & Compliance • SOC 2 • ISO 27001 • HIPAA • SOX • GDPR-Aware Architecture • OAuth • JWT • RBAC 🎯 What You Can Expect ✔️ Production-ready architecture ✔️ Clean, maintainable code ✔️ Fast delivery using Claude Code & Cursor ✔️ Proactive communication ✔️ Scalable, secure, and reliable solutions ✔️ Long-term technical partnership 🌟 Available For • Fractional CTO • AI & LLM Systems • Full-Stack Development • Mobile Applications • Cloud Architecture • API Development • Automation & Integrations • Technical Leadership

🙌 Hi! I'm Volo — Solutions Architect and DevOps engineer with 13+ years of commercial experience, now focused on building and shipping AI-powered applications and the infrastructure that runs them. I bridge the gap between AI ideas and production reality: from LLM-based agents and automation pipelines to the Kubernetes clusters, CI/CD, and cloud architecture they run on. One person who can design the solution, build it, deploy it, and keep it running. 🥇 Production-grade quality is my biggest benefit 😎 What I do: 🔻 AI Apps & Automation — LLM integrations (Claude, OpenAI), AI agent workflows, n8n automation pipelines, RAG, prompt engineering, API orchestration 🔻 DevOps & GitOps, 8+ years — Kubernetes (k3s), Argo CD, Kustomize, Docker, GitHub Actions / GitLab CI / Jenkins, SOPS secrets management, GHCR 🔻 Cloud & Infrastructure, 10+ years — AWS, Linux (Ubuntu/Debian), Ansible, Traefik, Nginx, Varnish, Redis, RabbitMQ, CDN & load balancing, Cloudflare 🔻 Web Applications, 13+ years — PHP (Laravel, Magento 2), Node.js, MySQL/PostgreSQL, OpenSearch, high-load e-commerce Typical engagements: 👉 Architecting and deploying AI applications from prototype to production 👉 GitOps-based CI/CD pipelines for multi-environment delivery (preprod/prod) 👉 Kubernetes cluster setup, migration, and cost optimization 👉 Cloud migrations (dedicated servers → AWS), performance tuning, troubleshooting 👉 Self-hosted infrastructure: private clouds, monitoring, secure storage Beyond hands-on work: ⭐️ Led and supervised DevOps teams, established technical standards ⭐️ Mentored engineers, recruited and onboarded new team members ⭐️ Designed technical solution concepts and coordinated their implementation ⭐️ Improved internal processes — monitoring, documentation, knowledge sharing I've been in IT since the early 2000s, and the AI wave is the most exciting shift I've seen — I build with these tools daily, not just talk about them. Looking for someone who can take your AI product or infrastructure from "it works on my laptop" to a reliable, scalable, secured production system? Let's talk. 🚀

As an AWS-certified DevOps and cloud security engineer, I help startups, fintech companies, and AI/ML platforms build secure, compliant, production-grade AWS infrastructure — including the AI infrastructure layer most DevOps engineers haven't touched yet: LLM inference endpoints, RAG pipelines, and GPU-backed compute. With certifications in AWS DevOps Engineer – Professional, AWS Solutions Architect – Professional, AWS Security – Specialty and AWS CloudOps Engineer – Associate, your infrastructure is in capable, currently-certified hands. WHAT I DO BEST AI/ML Infrastructure on AWS I deploy fine-tuned LLM inference endpoints across GPU instance families, build RAG knowledge bases using Amazon Bedrock and pgvector, and stand up Feature Stores for ML pipelines — all on Terraform, all production-grade. If your platform runs AI workloads, I build the infrastructure underneath the model. Enterprise Cloud Foundation & Governance I establish AWS cloud foundations using Control Tower and Landing Zone with automated multi-account environments and security guardrails — Security Hub, GuardDuty, AWS Config, CloudTrail, and SCPs. This significantly eases SOC 2, ISO 27001, and HIPAA audit preparation through automated compliance evidence. Security-First Infrastructure VPC isolation, least-privilege IAM, secrets management, and encryption everywhere. A recent project passed a SOC 2 audit with zero infrastructure findings, built in from day one. Cloud Migrations & Containerization I migrate applications from on-premises and legacy clouds (GCP, Azure) to AWS with zero downtime — deploying to ECS/Fargate, EKS, or traditional EC2, with a focus on cost efficiency and security. Infrastructure as Code Everything is Terraform-based, version-controlled, and reproducible — multi-account Control Tower setups, VPC architectures, IAM policies, all defined as code with peer review. CI/CD & Production Reliability Deployment pipelines (GitHub Actions, GitLab CI, AWS CodePipeline) that cut deployment time from hours to minutes, with automated testing and rollback. Designed for 99.99% uptime through Multi-AZ deployments and auto-scaling. RECENT RESULTS - Architected GCP-to-AWS migration for an AI/ML fintech platform — 5 fine-tuned LLM inference endpoints across GPU instance families, RAG knowledge base on pgvector, full Terraform IaC - Deployed a containerized Spring Boot app on ECS Fargate with Control Tower multi-account setup, Security Hub, GuardDuty, Config, and CloudTrail across dev/staging/prod - Migrated a payment platform to AWS — 99.99% uptime, handled 10x traffic spikes, 40% cost reduction - Delivered enterprise Landing Zone migration framework for 85 applications, 450 VMs, 55 databases - Automated deployments from 2 hours to 15 minutes with improved security posture TECH STACK AWS AI/ML: Amazon Bedrock, Amazon SageMaker, RAG pipelines, pgvector, Feature Store, GPU instances AWS Governance & Security: Control Tower, Organizations, Security Hub, GuardDuty, Config, CloudTrail, IAM, Secrets Manager, KMS, WAF AWS Infrastructure: ECS/Fargate, EC2, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, ALB/NLB, Auto Scaling Containers & Orchestration: Docker, ECS/Fargate, Kubernetes/EKS, ECR Infrastructure as Code: Terraform (5+ years), CloudFormation, AWS CDK CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline/CodeBuild/CodeDeploy Databases: RDS (PostgreSQL, MySQL, SQL Server), DynamoDB, MongoDB/DocumentDB Monitoring: CloudWatch, CloudTrail, VPC Flow Logs, Security Hub, Config Scripting: Python, Bash, Shell WHO I WORK WITH - AI/ML platforms needing production-grade inference and RAG infrastructure - Startups preparing for SOC 2 certification - Fintech companies needing secure infrastructure for financial data - Healthcare/SaaS companies requiring HIPAA-ready environments - Companies migrating from on-premises, GCP, or Azure to AWS - Enterprises needing multi-account AWS governance WHAT MAKES ME DIFFERENT Most DevOps engineers deploy applications. I build enterprise security foundations — and the AI infrastructure layer most of them haven't touched yet. You get: ✓ AI/ML infrastructure built by someone who understands both the model and the cloud underneath it ✓ Security and compliance built in from day one ✓ Automated audit evidence collection ✓ Multi-account governance preventing drift ✓ Clear documentation and knowledge transfer Looking for secure, audit-ready AWS infrastructure — or AI/ML platform infrastructure that actually scales? Let's talk.

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'm an experienced IT professional, played various roles in my career journey like Cloud Solutions Architect, Full-stack developer, DevOps consultant with total 16+ years of experience. I'm an Ex-Amazonian, expert in AWS Cloud platform and AWS Partner Network(APN). I'm Solutions Architect Pro-certified with all 3 hyper-scalers(AWS, Azure,GCP). Have strong knowledge of AI/ML/GenAI with AWS AI Practitioner and Machine Learning Speciality certifications. Total Experience: 16+ years 4xAWS, 1xAzure,1xGCP Certified