Michael Gardner
I am a hands-on engineer specializing in building and operating scalable production systems.
About
I am a hands-on engineer specializing in building and operating scalable production systems. I have delivered multi-tenant geoinformatics SaaS platforms on Azure and Kubernetes using Go, with infrastructure provisioned via Terraform and Helm. I focus on optimizing CI/build pipelines, deploying secure microservices with service mesh, and driving observability with SLOs and telemetry. Experienced in regulated environments like HIPAA and SOC 2, I also maintain open-source projects and contribute actively to the Ada library ecosystem.
With a foundation in OT and industrial automation, I have developed mission-critical PLC libraries for major clients, including the French Navy. I am proficient in multiple languages including Ada 2022, Go, Rust, Python, and C#, and I actively integrate AI-assisted engineering workflows using tools like ChatGPT and Claude Code to accelerate development and quality assurance. My interests include device-to-cloud IoT solutions and applied AI automation workflows. Outside work, I am an electrical engineering hobbyist, licensed pilot, and Amateur Radio Extra Class operator.
- 11 years' experience
- Joined July 2025
Skills· 19
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Financial Services
- Healthcare
- Education
- Life Sciences
- Manufacturing
- Other
- Professional Services
More experts in Scottsdale, United States
Work experience· 6 roles
Designed and delivered robust REST, gRPC, and GraphQL APIs and developed automation and console tools for third-party integrations. Collaborated in Agile environments to meet client needs.
Delivered a multi-tenant geoinformatics SaaS platform on Azure/Kubernetes in Go; implemented autoscaling, cost and SLO guardrails, zero-downtime deploys. Managed infrastructure with Terraform and Helm. Reduced CI/build times by 77% using Bazel and GitHub Actions. Deployed a secure gRPC mesh with Linkerd2, OIDC authentication, and mTLS with policy and secret management. Instrumented services for Prometheus with tenant-aware Grafana dashboards and actionable alerts. Developed performance-critical components and efficient FFI seams in C, C#, Rust, and Ada 2022. Managed and mentored three engineering teams (~20 members). Leveraged AI agents (ChatGPT, Claude Code) for scaffolding, refactoring, test generation, PR descriptions, and runbooks while ensuring safe usage practices.
Designed backend services and data pipelines for finance, health tech, and ed-tech platforms. Developed RESTful, gRPC, and GraphQL services for data transformation and analysis. Led efforts to optimize data ingestion and persistence using Microsoft Azure services, SQL, and MongoDB Atlas. Built robust automation tools and console applications to streamline integration with third-party data sources. Collaborated with stakeholders to define requirements, architecture, and deliverables in an Agile environment.
Education
Major: Computer Science, Minors: Biomedical, Chemistry, Mathematics, Physics.
Certifications and awards· 8
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