Senior Information Systems EngineerManchester, NH · Remote · 14+ years in IT

Fourteen years building solutions across endpoint management, scripting, and automation. The endpoint is still home base—and increasingly, I automate the whole thing.

Current focus: endpoint engineering · automation · employee-facing AI

Portrait of Alexander Mecca

Endpoint depth. Systems breadth.
Evidence before claims.

Endpoint managementAutomation engineeringAI agent systemsRoot-cause engineeringPlatform integration
(01)

About

Make it
go away.

I’m the engineer teams bring in when a problem needs to actually go away.

Endpoint management is still at the center of my work. I help own the systems that configure, secure, diagnose, recover, and support Windows and Mac devices at enterprise scale—and I still get pulled into the difficult endpoint problems that cross tool and team boundaries.

My scope has expanded because the best endpoint fix rarely ends at the device. It may need a ServiceNow workflow, a safer operator surface, better discovery data, a reusable automation platform, or an employee-facing agent. I follow the problem to the system that actually owns it.

“I don’t just chase symptoms—I gather the data, work out the real solution, then automate it.”
(02)

Engineering specification

The Spec Sheet

AM-1 · Systems Engineer

Senior Information Systems Engineer · Endpoint Platforms · Automation · Integration

Rev. 2026.08
Manchester, NH · Remote
● Current · Hands-On

Years of Experience
14years across IT and systems engineering
Operating Systems
3Windows · macOS · Linux
Current Practice
Currenthands-on endpoint platform ownership
Delivery Lifecycle
Enddesign · build · operate · improve
Fleet Scale
0+endpoints in active platform scope
Commits Authored
0+across the current code inventory
Endpoint Checks
0+live operational signals
Automation Actions
0+repeatable fleet-wide operations
Daily Work Eliminated
0+operations removed through automation
Repositories
0+represented in the current code inventory
(03) — Lab Active Engineering Environment

Built to test
systems honestly.

Alexander Mecca’s private systems and AI engineering lab, with networking, compute, and storage equipment in a full rack LAB-01 · Private Engineering Lab · Active
  • 01
    InfrastructureVirtualization · networking · storage
  • 02
    OperationsMonitoring · backup · recovery · automation
  • 03
    AI SystemsLocal inference · agents · memory · evaluation

My lab is a production-like platform for infrastructure, networking, virtualization, storage, observability, browser automation, local AI, agent orchestration, backup, and recovery.

It lets me develop across the whole lifecycle: build the service, operate it, see what breaks, recover it, and turn what survived into a reusable engineering pattern.

Engineering Loop

  1. 01Build
  2. 02Operate
  3. 03Observe
  4. 04Break
  5. 05Recover
  6. 06Reuse
(04)

Expertise

Deep at the endpoint.
Broad across the system.

CORE / ACTIVE

Endpoint Platforms

Active ownership across endpoint configuration, deployment, remediation, security, discovery, recovery, and support engineering.

  • Tanium sensors, packages, Discover, self-repair, and evidence
  • Microsoft Intune, Windows management, compliance, and recovery
  • Jamf Pro, macOS automation, MDM operations, and cross-platform tooling
  • Driver, firmware, Secure Boot, WinRE, imaging, and root-cause work
Tanium · Intune · Jamf Pro · PowerShell · Graph · Windows · macOS
EXTENDED SYSTEM

Automation & Integration

Governed workflows that connect endpoints, ServiceNow, CMDB, network data, identity, operator tools, and audit evidence.

  • ServiceNow workflow and catalog integration
  • API design, authentication, identity, and approval boundaries
  • Discovery synchronization and data reconciliation
  • Operator portals, observability, rollback, and runbooks
ServiceNow · Dataverse · REST · Graph · OIDC · CMDB · NetBox
EMERGING PRACTICE

AI Agent Systems

Employee-facing AI grounded in deterministic actions, source control, evaluation, observability, and honest release evidence.

  • Copilot Studio architecture and connected agents
  • Agent evaluation, test sets, grading, and telemetry
  • Adaptive experiences and deterministic workflows
  • ALM, source governance, runtime verification, and safe rollback
Copilot Studio · AI Builder · MCP · Evaluation · App Insights · ALM
Capability Map

Where the Work Lives

Weighted by real commit and content volume across my repositories—not self-rated percentages.

  • 01Endpoint Management & MDM

    Tanium · Intune · Jamf Pro · Windows · macOS · Fleet Recovery

  • 02AI Agent Systems & Tooling

    Copilot Studio · MCP · Regression · Evaluation · ALM

  • 03Automation & Scripting

    PowerShell · Node.js · Python · APIs · Governed Operations

  • 04Platform & Infrastructure

    Proxmox · Packer · Ansible · Git · Network Services

  • 05Telemetry & Observability

    App Insights · Sensors · Health Scoring · Logs · SIEM

  • 06Security & Identity

    Entra · Secure Boot · BitLocker · FileVault · EDR · Graph

  • 07Service Management & Integration

    ServiceNow · Dataverse · CMDB · Workflow · Operator UX

(05)

— Toolkit

Stack & Craft

01Languages & Automation

  • PowerShell
  • JavaScript / Node.js
  • Python
  • Bash / ZSH
  • REST / GraphQL

02Endpoint & MDM

  • Tanium
  • Microsoft Intune
  • Jamf Pro
  • ConfigMgr
  • Dell Command Update

03Platform & Identity

  • ServiceNow / Graph
  • Entra ID
  • Dataverse
  • NetBox / Proxmox
  • Packer / Ansible / Git

04Security & AI

  • Secure Boot
  • BitLocker / FileVault
  • Copilot Studio
  • CLI Agent Systems
  • Custom MCP Servers
(06)

Selected work

Systems, not
showpieces.

Additional Systems and Engineering Journeys

Explore the broader project library.

View all projects
(07)

Operating principles

How I work.

  1. 01

    Root Cause, Not Band-Aids.

    Fix the system that owns the failure—not the symptom that happened to expose it.

  2. 02

    Automate the Recurrence.

    If the same operational judgment keeps being made, design a safe, observable way to make it repeatable.

  3. 03

    Deterministic Where Precision Matters.

    Use AI for ambiguity and reasoning; use typed, verified systems for records, decisions, and writes.

  4. 04

    Evidence Before Claims.

    A script existing is not the same as a result. Verify the target, the effect, the runtime, and the recovery path.

(08)

Experience

A widening
engineering scope.

  1. Platform Ownership & Innovation

    Extreme Networks

    Current

    Senior Information Systems Engineer

    Turned years of escalation and endpoint experience into platform ownership, solution architecture, and applied innovation. I analyze business functions and device-management problems, identify root causes and opportunities, prototype new approaches, and design holistic solutions that fit the operating environment. That work spans Tanium, Intune, Jamf Pro, Windows, macOS, automation, imaging, endpoint security, ServiceNow, and AI agents—with the goal of improving the system around the immediate problem. Its broader impact has earned repeated Game Changer recognition, including special recognition for the employee-support agent program.

  2. Site & Escalation Leadership

    Extreme Networks

    Service Desk / Desktop Systems Specialist

    Served as a site lead, multi-subject-matter lead, and senior escalation resource across the service desk. I handled difficult Windows and Mac escalations, deep troubleshooting, recurring-problem root-cause analysis, technician development, and cross-domain technical advising. The role was support-centered rather than engineering-centered, but I was often engaged before the endpoint-management team and brought into larger rollouts and projects when deeper problem-solving was needed.

  3. Security & Forensics

    Extreme Networks

    Information Security Analyst

    Helped establish vulnerability-scanning infrastructure and Qualys operations, evaluated vulnerabilities and patching gaps, prepared remediation guidance, and supported malware incidents and security investigations. I also assisted with device-acquisition matters and data collection from system drives while advising IT teams on patching and endpoint-security improvements.

  4. Enterprise Support

    Extreme Networks

    Desktop Systems Specialist

    Entered Extreme through hands-on enterprise support: resolving complex hardware and software issues, maintaining and testing desktop systems, training users and technicians, managing operational records and inventory, and helping evaluate and introduce new technology.

  5. Customer-Facing Problem Solving

    Right Networks

    Technical Support Representative

    Supported customers across software, hardware, connectivity, printing, and hosted-workflow issues. The role sharpened structured diagnostics, clear technical communication, de-escalation, and collaboration with vendors and development teams when a problem crossed ownership boundaries.

  6. Support Foundation

    Elbit Systems of America

    IT Helpdesk Analyst

    Built my enterprise-support foundation through end-user troubleshooting, hardware and software setup, ticket and knowledge management, vendor coordination, technology recommendations, and onsite training. That work established the operational discipline that later grew into escalation leadership and systems engineering.

(09) Contact

Let’s build
something
reliable.