Eric GonzálezCLOUD SOLUTIONS ARCHITECT
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Professional experience

Software engineering, technical leadership, and enterprise cloud architecture.

CONTINUOUS DEVELOPMENT

Next career steps

My next priorities: technology leadership, FinOps, cybersecurity architecture, and enterprise AI.

Established foundation

Multicloud architecture, security, FinOps, Azure AI implementation, and technical mentoring.

View verified credentials
Academic goal

Master’s Degree in Information Technology Administration / Management

Technology strategy and leadership. Enrollment remains unconfirmed.

Certification preparation

FinOps Foundation

Certification preparation to complement practical FinOps experience in cloud financial management, governance, and cost optimization.

Certification goals

Multicloud certification goals

AWS credentials complement existing hands-on AWS experience; Google Cloud Digital Leader formalizes practical GCP expertise. SC-100 is a cybersecurity architecture objective. These credentials are goals, not completed awards.

  • AWS Certified Cloud Practitioner
  • AWS Certified AI Practitioner
  • Google Cloud Digital Leader
  • Microsoft Certified: Cybersecurity Architect Expert (SC-100)
Ongoing renewal focus

Microsoft expertise & applicable renewals

Continuous development and renewals where offered by Microsoft. Current credential status is available in the official transcript.

Learning & architecture development

Enterprise AI Architecture evolution

Extend existing AI experience through secure integration of models, data, and enterprise services.

  • Microsoft Foundry
  • Azure OpenAI
  • Azure AI Search
  • Google Cloud Vertex AI
  • Gemini
  • Amazon Bedrock
  • Claude
  • OpenAI APIs
Learning & architecture development

Cloud Security and AI Governance

Deepen secure AI integration, governed data access, agent interoperability, and measurable enterprise architecture.

  • AI Agents
  • RAG
  • MCP
  • Multimodal AI
  • AI Security and Governance
  • AI Observability
  • Model Evaluation
Learning & architecture development

AI Security & Identity Architecture

Extend enterprise security practice through secure onboarding, governed identities, and resilient AI workloads.

  • AI Security
  • Zero Trust
  • Identity Governance
  • Secure Onboarding
  • Microsoft Entra ID
  • Identity Lifecycle Management
  • Enterprise Security Architecture

03 / EXPERIENCE

Built over time. Applied every day.

Software engineering, technical leadership, and enterprise cloud architecture.

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  1. Aug 2019 — Present

    ONIKOM

    Cloud Architect / Solution Architect (Multicloud)

    Azure-first multicloud architecture, migration strategies, DevOps automation, security and governance, backend integrations, FinOps, and application modernization. Client engagements span secure platforms, Kubernetes, Infrastructure as Code, data integrations, and AI services.

    MulticloudArchitectureDevSecOpsFinOps

  2. May 2015 — Jul 2019

    Microsoft

    Cloud Architect / Consultant

    Led enterprise migrations from on-premises to Azure, designed secure enterprise architectures, delivered AI and chatbot solutions, and contributed to pre-sales, solution design, and execution.

    AzureEnterprise migrationAI solutions

  3. Dec 2014 — May 2015

    Intellego

    Technical Leader (.NET)

    Led web and desktop application development, defined architecture and migration strategies, and supported teams with design patterns and implementation.

    .NETTechnical leadership

  4. Nov 2012 — Oct 2014

    Extend Solutions

    Cloud Consultant / .NET Specialist

    Migrated enterprise digital solutions to Azure, developed MVC and Angular applications, and designed cloud-based architecture.

    AzureMVCAngular

  5. Nov 2010 — Nov 2012

    2H Software

    Technical Leader

    Led on-premises to cloud migrations, designed infrastructure and application architecture, and developed service layers and mobile integrations.

    Cloud migrationIntegration

  6. Jun 2011 — May 2012

    Praxis

    Software Architect

    Designed enterprise architectures and proofs of concept, defining technical standards and solution approaches.

    Software architectureProofs of concept

  7. Mar 2007 — Dec 2008

    SIDETEC

    Technical Leader

    Led banking-sector development projects, designed CFD/CFDI solutions, and managed engineering teams and delivery.

    Technical leadershipEnterprise software

  8. 2007

    Infilter

    Developer

    Developed Java systems for staff evaluation and contributed to system analysis and implementation.

    JavaSoftware engineering

Consulting engagements are represented in aggregate; client identities and internal architectures are not disclosed.

ACADEMIC FOUNDATION

Education

Computer engineering and administrative computing: the foundation of my career.

Technician in Administrative Computing

CECYTEM Coacalco

04 / CREDENTIALS

Expertise with a verifiable foundation.

Credentials cross-referenced with my official Microsoft transcript. Current status is shown only where confirmed by the issuer.

View Microsoft transcript (opens in a new tab)
12ActiveVerified as of

13 results

MicrosoftMCT

Microsoft Certified Trainer (MCT)

Microsoft

Professional trainer credentials

Documented in résumé · Current membership not confirmed

Issuer program (opens in a new tab)
Historical credentials (3)

Expired legacy awards are preserved separately from current active credentials.

Important links

Microsoft Learn (opens in a new tab)Google Cloud learning profile (opens in a new tab)
Learning Achievements

View courses, completed training and learning badges in my official profiles.

View Microsoft transcript (opens in a new tab)

02 / EXPERTISE

The right depth. Across the whole stack.

Engineering depth, security, and business context guide my architecture decisions.

Multicloud architecture

Enterprise landing zones, resilient cloud platforms, hybrid connectivity, and modernization across Azure, AWS, and Google Cloud.

Azure Landing ZonesAKS · EKS · GKEApp ServiceLambdaVNET / VPCAPI Management

Security engineering

Secure-by-design systems with Zero Trust principles, identity controls, workload protection, and enterprise governance.

Entra IDDefender for CloudSentinelPurviewAWS Security HubCloud Armor

FinOps & governance

Cost-aware architecture, resource efficiency, right-sizing, and governance that connects technical choices with operational priorities.

Cost optimizationResource efficiencyCloud governanceArchitecture reviews

AI solutions

Enterprise AI integration and data-connected solutions, supported by practical prompt engineering and AI-assisted delivery.

Azure OpenAIMicrosoft FoundryAzure AI SearchCognitive ServicesGitHub Copilot

DevSecOps & platforms

Repeatable infrastructure, secure delivery pipelines, and standardized cloud-native platforms that teams can operate with confidence.

TerraformBicepPulumiGitHub ActionsAzure DevOpsPowerShell

Backend & integration

API-first architectures, event-driven systems, microservices, and application modernization built on a strong software foundation.

C# · .NETPythonJavaAPIsDistributed systemsMicroservices

Data & analytics

Enterprise data flows, integration pipelines, analytics platforms, and data governance from ingestion to insight.

Data FactorySynapseMicrosoft FabricPower BIBigQueryETL / ELT

ENTERPRISE AI

AI architecture. Grounded in experience.

AI integrated into enterprise applications and engineering workflows, with security and technical oversight.

Established experience

Microsoft AI

Implementation experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Cognitive Services. Expanding this foundation through Microsoft Foundry and AI Agents.

  • Microsoft Foundry / Azure AI Foundry
  • Azure OpenAI
  • Azure AI Search
  • Azure AI Services

Exploration: AI Agents and agent orchestration.

Architecture development

Google Cloud AI

Daily use of Gemini is part of my engineering workflow. My platform exploration extends to Vertex AI, Model Garden, and agent development capabilities.

  • Vertex AI
  • Gemini
  • Model Garden
  • Agent development

Established use: Gemini as an AI assistant.

Architecture development

AWS AI

Building on hands-on AWS cloud experience to explore enterprise generative AI services and developer assistance.

  • Amazon Bedrock
  • Foundation Models
  • Knowledge Bases
  • Agents
  • Guardrails
  • Amazon Q Developer

Learning focus: secure, data-connected AI solutions.

Enterprise use

Anthropic

Claude supports daily analysis and enterprise integration work, with controlled data access and technical review.

  • Claude
  • Enterprise integration
  • Technical review

Secure handling of information and measured usage.

Enterprise use

OpenAI

OpenAI tools and Azure OpenAI support enterprise workflows and application integrations through APIs and existing services.

  • OpenAI
  • Azure OpenAI
  • APIs & services

Human oversight, security controls, and usage and cost monitoring.

Architecture development

Enterprise AI architecture

Extending enterprise AI integration and prompt engineering toward agent-based systems, governed data access, and measurable model quality.

  • Generative AI
  • LLM integration
  • RAG
  • AI Agents
  • Multi-agent orchestration
  • MCP
  • Multimodal AI
  • AI Security and Governance
  • AI Observability
  • Model Evaluation
  • AI Cost Optimization

Current focus: secure integration, evaluation, and operating models.

Explore my professional roadmap

07 / LET’S CONNECT

Your next cloud chapter
starts with a conversation.

Let’s discuss a senior architecture role, consulting engagement, or your next cloud challenge.

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Professional résumé · PDF