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Michael Gardner

Principal Full-Stack Software Engineer

Professional Summary

Versatile Principal Full-Stack Software Engineer with a proven track record of delivering secure, scalable, and innovative cloud-native solutions. Demonstrated success in architecting and deploying SaaS platforms using Kubernetes, Docker, Azure, and modern API technologies (RESTful, gRPC, GraphQL). Recognized for driving DevOps excellence, modernizing legacy architectures, and mentoring distributed teams in a remote-first environment. Adaptable and outcome-driven, delivering high-performance solutions across domains including finance, healthcare, science, and higher education. Actively leveraging AI tools such as AI Assistant, Junie, and GitHub Copilot to streamline development workflows, enhance code quality, and accelerate delivery. Currently expanding expertise in large language models (LLMs) and autonomous agents to design intelligent AI-enabled solutions. Seeking senior-level roles that offer deep technical challenges and opportunities for impactful innovation.

 

Core Competencies

  • API & Integration: GraphQL, gRPC, RESTful APIs, Linkerd2 Service Mesh

  • Architecture: ASP.NET Core, CI/CD Automation, Clean/Hexagonal, SaaS, Spring Boot

  • Asynchronous Messaging: Azure Queues

  • Cloud: Microsoft Azure, Cloud-Native, Emissary Ingress (“Envoy”), Kubernetes, Terraform

  • Data Engineering: Azure Data Services, Microsoft SQL Server, MongoDB Atlas, Photogrammetry, PostgreSQL

  • DevOps & Build Automation: Bazel, GitHub Actions, Helm

  • Languages: C, C#, Go, Python, Rust, Et al.

  • Observability & Alerting: Prometheus, Grafana, SendGrid

  • Security: Active Directory, Azure Key Vault, OAuth2, Okta, OpenID Connect, TLS, X.509

 

Evolving Competencies

  • AI: Intelligent Agents, AI Assistant, Junie, GitHub Copilot, Large Language Models 

    Actively leveraging AI Assistant and Junie to streamline development workflows, improve code quality, and accelerate delivery. Currently deepening my expertise in large language models (LLMs) and autonomous agents to architect and implement intelligent, AI-enabled solutions.

  • LinkedIn
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  • GitHub
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