Solutions Engineering · San Antonio, TX
Discovery-Led Solutions Engineering Across Cloud, Observability, AI, and Technical Storytelling.
I’m Eric Harris - a customer-facing sales leader, trainer, and technical storyteller in San Antonio, Texas. My background spans 25+ years of consultative sales, coaching, business analysis, and complex decision guidance, now aimed deliberately at Solutions Engineering across observability, cloud systems, AI-assisted workflows, and technical discovery.
I build and document projects that turn complexity into clarity: systems with visible workflows, explainable behavior, operational evidence, and customer-facing narratives that make technology easier to understand, operate, and trust.
One pattern, many expressions
These projects aren’t random apps - they’re different expressions of the same pattern:
Find the signal. Reduce the noise. Make the system understandable. Help people act with confidence.
That pattern shows up in customer discovery, observability, workflow design, AI-assisted development, writing, and photography. In Solutions Engineering, the job isn’t only knowing the tool - it’s understanding the customer’s pain, mapping it to the right technical path, explaining the value clearly, and earning trust.
Find what matters in the noise - in telemetry, in data, in a customer conversation.
Understand how the pieces connect, where they fail, and why it matters.
Explain complex things so people actually follow - and act.
Earn confidence through clarity, evidence, and follow-through.
Portfolio
Projects that demonstrate observability thinking, AI-assisted workflow design, technical storytelling, and customer-facing systems reasoning.
Observability-native workflow & public demo pipeline
A local-first pipeline that turns public-domain and Creative Commons texts into audio, generates RSS, and exposes the whole workflow - built observability-first, with process mapping, failure visibility, and a deliberate operator experience.
Shows how I think about systems, workflows, visibility, and customer value.
Public build log · daily execution
Ten consecutive days of Python, built and documented in public - one folder per day, from core syntax to a working CLI log-analysis tool. A timestamped trail of commits that shows real, progressive growth toward automation-adjacent work.
Consistency, public accountability, and daily execution - the same repeatable process behind the larger projects.
AI-assisted workflow governance & multi-model review system
A local-first Progressive Web App for coordinating multi-model AI work through phase gates, critique layers, review loops, and explicit state management - structured AI usage with human judgment still in control.
Shows AI fluency, process governance, and disciplined execution.
Native Android app · time-sensitive job applications
A native Android app for roles that open at a scheduled moment and fill within minutes. It stages everything ahead of time, alarms you before the window opens, then runs a split-screen execution cockpit that logs the exact timestamp of every submission - and never auto-submits; the human always presses submit.
Native Android engineering, responsible AI use, and spec-driven delivery of a complete, shipped app.
Windows desktop app · visual storytelling & pre-production
A shipped Windows desktop app for artists and filmmakers: organize storyboard keyframes on reorderable shot cards, build emotional beat boards with color, script, and music cues, load .zip artifact bundles without unzipping, inspect 3D reference files, and export WebM animatics - one local-first pre-production workflow.
Native desktop engineering across a real toolchain - Electron, React, Three.js - plus the sequencing and framing instincts that make a strong technical demo.
Ramping in public
Smaller, self-directed builds and learning artifacts that show how I ramp technically: by building, inspecting, breaking, debugging, and iterating.
Foundational fluency
An early self-directed Python lab: CLI design, parsing, branching logic, file handling, and debugging. Phase-gated learning with earned technical perspective - not tutorial-following.
Cloud & telemetry
Certification-driven, hands-on work across AWS, telemetry pipelines, distributed tracing, and observability fundamentals - the working layer underneath the featured projects.
15+ years of hands-on
I’ve run personal systems and home lab environments for more than fifteen years - Windows, Linux, and FreeBSD / TrueNAS-style storage, media services, GPU systems, home networking, and local experimentation, including local AI.
I don’t present this as formal SRE experience. It’s evidence of long-running technical curiosity, troubleshooting discipline, and hands-on systems thinking - the habit of taking things apart, watching them fail, and putting them back together better.
Environment
Perspective, in writing
Writing that sharpens technical storytelling and works out perspective on AI, observability, and customer understanding.
Observability · Data Platforms
A reflection on what Snowflake’s Observe acquisition signals about AI-native, data-first observability - and the role of understanding in platform value.
Data · Execution Systems
A field note on why data strategy cannot stop at storage, dashboards, or insight - the real leverage comes from connecting understanding to execution.
AI · Reasoning
An exploration of text diffusion, pattern coherence, and what alternative model foundations may suggest about the future of language interfaces.
Seeing what matters
The instinct for visual storytelling isn’t new - it traces back to a Certificate in Digital Animation & Media Arts in 2000, and it has shaped how I make complex systems clear ever since.
Photography is part of my technical storytelling practice. A good image demands both artistic instinct and systems thinking - light, timing, composition, constraint, and signal selection.
The same discipline shows up in Solutions Engineering: helping people see what matters.
A visual body of work built on the same principles as customer-facing technical work: signal, composition, clarity, and story.
Verified ramp
OpenTelemetry Certified Associate (OTCA)
Cloud Native Computing Foundation (CNCF)
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
Career Essentials in Generative AI
Microsoft · LinkedIn
Ethics in the Age of Generative AI
Certificate in Digital Animation & Media Arts
Victor Valley College
Currently preparing: Dynatrace Associate · Terraform · Python · Cloud infrastructure · Observability labs
Positioning
25 years of discovery, presentation, objection handling, coaching, and customer trust-building.
Home lab systems, AWS, OpenTelemetry, Dynatrace Essentials, observability projects, and a continuous hands-on ramp.
Experience across automotive, insurance, training, business analysis, and high-consideration customer conversations.
AI as leverage, not a substitute for judgment - structured, inspectable, and accountable workflows.
I’m technically curious and technically serious, but my value is not in trying to out-engineer the engineer. My strength is speaking the language of people and business: building trust, uncovering the real problem, connecting technical truth to operational impact, and helping customers move forward with confidence.
Open to Solutions Engineering conversations, demos, and technical storytelling problems worth solving.
Eric Harris·San Antonio, Texas·[email protected]