Hire the Best Cloud Engineers
in Canada

Over 20 years in the IT industry. Solution-oriented, highly analytical, and resourceful candidate with extensive experience in network administration and support. • Experience with AWS cloud services • Experience with Microsoft cloud services • Experience in Systems/Network Administration • Experience with PowerShell and bash • Technology certification MCSE, MCITP, MCSA 2012, CompTIA A+, MCSA: Windows Server 2016, MCSA: Office 365, Installing and configuring Windows 10, CompTIA Linux+, AWS Certified Cloud Practitioner, AWS SysOps Administrator, AWS DevOps – Professional, AWS Solution Architect, HashiCorp – Terraform Associate, AWS services (EC2, RDS, VPC, S3, Route53, SQS, IAM, CloudWatch, CloudFormation, CloudFront, IAM, Security Groups, Step Function). Manage pipelines, development DR strategy using TF, Jenkins etc.

I’m a Senior Full Stack AI Engineer and Team Lead with 6+ years of experience building scalable, cloud-based web, mobile, AI agents, and AI-powered applications. I specialize in Node.js, TypeScript, React/Next.js, React Native, and AWS architectures, with proven expertise in designing microservices, cloud solutions, and AI/LLM integrations. I help startups and enterprises accelerate product development, optimize cloud costs, and implement intelligent automation systems. My experience spans: • Full-stack web & mobile applications with modern frameworks • AI agents, workflows, LLM integrations, and vector-based search systems • Scalable microservices, APIs, and DevOps automation • Cloud architecture, migration, and performance optimization I deliver clean, maintainable code, take ownership of projects end-to-end, and ensure your software scales efficiently. Let’s build something impactful together.

I’m Dawson, an IT Support Technician based in Newfoundland, Canada, specializing in fast, accurate resolution of complex technical issues. With a strong foundation in enterprise networking & cloud administration (CCNA and AZ-104 certified) and practical experience across Windows environments, Office 365 administration, email systems, network troubleshooting, Wi‑Fi optimization, and small‑business infrastructure, I deliver reliable, technically sound solutions. I’ve supported clients through urgent break/fix issues, network performance problems, device configuration, security hardening, and cloud‑connected workflows. My work includes 9 successful Upwork contracts and over $5K earned, consistently rated for clarity, efficiency, and deep technical understanding. If you need a technician who can diagnose problems quickly, communicate clearly, and provide professional support during evenings and weekends, I’m your guy.

Hands-on knowledge of building/deploying infrastructure and operating high availability SaaS applications in multiple cloud platforms with a passion for cutting-edge web and DevOps technologies. DevOps & CI/CD: ✔CI/CD Pipeline Development Design, develop, and maintain CI/CD pipelines for applications and infrastructure. Integrate version control systems (e.g., Git) with build and deployment tools. Automate testing, build, and deployment workflows. ✔Infrastructure as Code (IaC) Use tools like Terraform, CloudFormation, or Ansible to provision and manage infrastructure. Automate environment creation for development, testing, and production. ✔Monitoring and Logging Implement monitoring tools (e.g., Prometheus, Grafana, Datadog) for application and pipeline performance. Integrate logging tools (e.g., ELK Stack, Splunk) to analyze and troubleshoot issues. ✔Version Control Management Manage source code repositories using Git. Enforce branching strategies (e.g., GitFlow) and code review workflows. ✔Containerization and Orchestration Containerize applications using Docker. Manage container orchestration with Kubernetes or ECS. ✔Deployment Automation Deploy applications to cloud platforms (AWS, Azure, GCP). Implement blue-green, canary, or rolling deployments for zero-downtime updates. ✔Collaboration and Security Collaborate with development, QA, and operations teams. Integrate security tools like, and CodeQL for security checks during CI/CD.

I am a Cloud & DevOps Engineer with over 16 years of IT experience, certified in AWS, Azure, GCP, CompTIA Security+, and Kubernetes (CKA). I specialize in designing, automating, and managing scalable, secure, and cost-optimised infrastructures for startups, enterprises, and MSPs. My approach combines Cloud Architecture, DevOps automation, and AI-driven workflows, leveraging tools like ChatGPT , Claude and OpenHands to design modern applications, automate processes, and accelerate development cycles. This enables businesses to improve efficiency, reduce downtime, and scale confidently. Core Competencies Cloud Architecture & Migration AWS, Azure (AKS, App Services, AI/ML), GCP, Rackspace, DigitalOcean Hybrid and multi-cloud solutions VMware ESXi, Hyper-V, Proxmox, VSAN migrations DevOps & Automation CI/CD: Jenkins, Azure DevOps, GitHub Actions, AWS CodePipeline Infrastructure as Code: Terraform, CloudFormation, ARM templates Containers: Docker, Kubernetes (CKA-certified) Workflow automation using N8N and Cursor AI AI-assisted development using ChatGPT and Claude for pipeline optimization, scripting, and application design AI/ML & AIOps AWS SageMaker, Lambda, Rekognition, Azure Cognitive Services Monitoring: Datadog, Dynatrace, Splunk, ELK AI-driven automation and incident remediation LLM-based automation using ChatGPT and Claude Security & Compliance IAM: Okta, Keycloak, Auth0, Azure AD, JumpCloud Compliance: SOC 2, PCI DSS Security: VPNs, SSL/TLS hardening, firewalls Systems & Tools Windows Server (2012–2022), Linux (Ubuntu, CentOS, RHEL) Web servers: IIS, Nginx, Apache, Tomcat, Node.js Databases: MySQL, PostgreSQL, MSSQL What I Deliver Cloud migration and architecture design across AWS, Azure, GCP End-to-end DevOps implementation with CI/CD, IaC, and automation AI-powered workflows using ChatGPT, Claude, N8N, and Cursor AI Monitoring, observability, and auto-remediation solutions Secure and compliant infrastructure design 24/7 infrastructure support, incident management, and disaster recovery Cost optimization through right-sizing and scaling strategies Why Clients Work With Me 16+ years of hands-on experience in cloud and infrastructure Certified across AWS, Azure, and GCP Strong expertise in integrating AI tools (ChatGPT & Claude) into real-world DevOps and automation workflows Proven track record with startups, SMEs, and enterprise clients Flexible availability across US, Canada, Europe, and APAC time zones Strong communication and collaboration skills Let’s Build Smarter, Faster, and More Secure If you’re looking for a Cloud & DevOps Engineer who can combine cloud expertise with AI-driven automation (ChatGPT + Claude+OpenHands) to design scalable systems and modern applications, let’s connect. I can help you streamline operations, optimize costs, and accelerate innovation while ensuring reliability and security.

Microsoft Certified: Azure Solutions Architect Expert (AZ-305) and DevOps Engineer Expert (AZ-400). Top Rated Plus, 100% Job Success, 423 hours delivered, 5.0 on every rated contract. I architect the platform and I build it — same person, start to finish. Twelve years in regulated environments — financial services, healthcare and technology — where an outage or a failed audit costs more than the project that prevents it. ——————————————— WHY CLIENTS TRUST ME WITH PRODUCTION ▪ 287 hours on a single engagement, embedded in the client's team as their Azure DevOps and networking engineer. Nobody keeps a contractor that long unless the work holds up. ▪ Every rated contract on this profile closed at 5.0. One client: "extremely knowledgeable, efficient and professional". ▪ Two Microsoft Expert-level certifications, verifiable online, plus HashiCorp Terraform Associate and Red Hat Linux. ▪ ISO 27001, SOC 2 and GDPR programmes led to certification with zero non-conformities. ——————————————— WHAT I ARCHITECT AND BUILD ▪ Release pipelines teams ship through daily I architect the release path so shipping stops being an event, then build it. Azure DevOps, GitHub Actions, GitLab CI, Jenkins or Harness — whichever you already run — with Argo CD for GitOps where Kubernetes is the target. Environments in Terraform, secrets pulled from Key Vault or HashiCorp Vault at run time, scanning gated before merge. Typically 80% fewer release errors, 45% faster delivery. ▪ FinOps: a cost model the business can explain I design the governance layer that makes spend visible and owned: rightsizing, tagging that survives contact with reality, reserved capacity and committed use analysis, automated policy that keeps the savings after handover. Typically 25-35% off spend, no performance trade-off. ▪ Production Kubernetes that holds under load AKS or GKE designed and built with autoscaling, network policy and sane resource limits, behind observability that means something. Prometheus, Grafana, Azure Monitor, real SLOs, alerts engineered to be signal not noise, and runbooks a junior engineer can follow. ▪ An identity and compliance layer that passes audit Identity and access architected from the ground up: Entra ID, Conditional Access, Zero Trust, MFA, privileged access, CIS-hardened baselines, and documentation built to withstand scrutiny. ▪ Migrations that do not cost you a weekend AWS to Azure, on-premises to cloud, and Microsoft Azure tenant-to-tenant. Dependency mapping first, wave plan second, rehearsed cutover third, rollback written before anyone touches production. ▪ Multi-cloud from hands-on experience, not theory I have designed and run production workloads on Azure, AWS and Google Cloud myself. So placement gets argued on cost and capability instead of preference, identity is federated across Entra ID, AWS IAM and Cloud IAM, Terraform modules target more than one provider, and multi-region failover is designed rather than hoped for. I will also tell you when one cloud is the right answer. ——————————————— THE PLATFORM UNDER ALL OF IT Azure and Google Cloud landing zones, hub-and-spoke networking, Shared VPC and Cloud IAM, hybrid and multi-tenant design, governance built in from day one. 30+ reusable Terraform modules in production across client environments, cutting provisioning 60%. Also Azure OpenAI workloads with private networking and cost controls, and Microsoft 365 and Intune estates. ——————————————— HOW ENGAGEMENTS RUN 1. A 30-minute call where I ask the questions and you do most of the talking. 2. A written plan: what changes, in what order, what it costs, what could go wrong. 3. Delivery in reviewable increments, with updates you can read in thirty seconds. 4. Diagrams, documentation, runbooks and a proper handover session. You keep everything. Terraform in your repository, runbooks in your wiki, no proprietary glue and no dependency on me afterwards. If your team can't run it without me, I haven't finished. ——————————————— GOOD FIT IF you run production on Azure, AWS or Google Cloud, you have a compliance or audit deadline coming, you are migrating between clouds, or your cloud spend has outgrown your control. PROBABLY NOT IF you need a quick script, a one-off fix with no context, or the cheapest hourly rate on the platform. STACK Azure · AWS · Google Cloud · Terraform · Bicep · Kubernetes (AKS, GKE, OpenShift) · Docker · Helm · Argo CD · Azure DevOps · GitHub Actions · GitLab CI · Jenkins · Harness · Prometheus · Grafana · Loki · Entra ID · Key Vault · HashiCorp Vault · Linux ——————————————— 📩 Tell me what's slow, fragile, expensive or unmonitored in your stack. I'll reply with how I'd approach it, what it would take, and what I'd do first.