Automation · Integration · Applied AI
I’m Johnathan Green, an automation and integration engineer with more than ten years in enterprise IT and managed services. I build production tooling, connect business systems, and apply AI where it improves the work.
Selected work
These examples focus on the engineering decisions, safeguards, and operational outcomes behind the tools.
Built PowerShell and REST API tooling for a 7,000-plus-endpoint migration from Kaseya VSA to Datto RMM. The system handles agent matching, classification, metadata mapping, reconciliation, and safe decommissioning.
Built a TypeScript Model Context Protocol service that supplies approved context to compatible AI clients. The design separates employee data, exposes company guidance read-only, and uses OAuth for controlled access.
Created an invoice-comparison workflow that flags billing changes and produces follow-up actions. Built a separate employee-handbook assistant that answers from approved policy documents and routes uncertain questions to HR.
Created a PowerShell tool that combines RDAP and WHOIS registration data, DNS records, certificate-transparency history, and live TLS analysis. Used it to enumerate and analyze more than 3,000 sites.
Development process
A published session record shows how I scoped, challenged, and iterated on a passive security-reconnaissance tool with an AI coding partner.
Engineering approach
I choose the simplest dependable mechanism for each part of the process, then design for the people who must operate it.
Scripts and workflows handle predictable steps. AI handles interpretation, synthesis, and interaction where fixed rules become brittle.
Dry runs, scoped permissions, protected records, logging, exception handling, and human escalation belong in the first design.
A working tool has no value if the team cannot trust or operate it. I pair implementation with documentation, training, and clear ownership.
Experience
My support and infrastructure background shapes how I engineer automation. I know what an unclear alert, unsafe default, or undocumented dependency does to the person handling the incident.
IT Voice · Remote
Own automation and integration work spanning RMM migrations, monitoring, remediation, enterprise AI, MCP services, and platform reconciliation.
Ntiva, formerly The Purple Guys
Administered multi-client infrastructure, served as an RMM subject-matter expert, tuned operational monitoring, and trained engineers.
Nettech
Built configuration, patching, certificate, monitoring, and onboarding automation across more than 100 client environments.
AFS Logistics · CenturyLink · Ochsner-LSU / TeamLogicIT
Supported identity, virtualization, endpoint deployment, ticketing, and distributed user environments while developing early support automation.
Toolbox
PowerShell, Python, TypeScript, Bash, REST APIs, SQL, n8n, Power Automate, MCP, OAuth, agent workflows, document analysis
Windows Server, Active Directory, Group Policy, Microsoft 365, Azure and Entra ID, Intune, Cloudflare Workers and D1, VMware, Hyper-V
Datto RMM, Kaseya VSA, N-able, ConnectWise, PRTG, LogicMonitor, Liongard, Hudu, IT Glue, Zendesk, ServiceNow
Sophos, SentinelOne, Microsoft Defender, Blackpoint, Arctic Wolf, Huntress, Duo, FortiGate, Veeam, Acronis, Datto
Contact
I’m based in Shreveport, Louisiana, and interested in remote engineering roles where I can own useful systems from problem discovery through production.