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Open to senior cloud and DevOps engagementsCaracas, VenezuelaTechnical Lead, Cloud & DevOps

I engineer cloud platforms teams can trust.

Infrastructure as code, developer experience, and observability that help teams release with confidence and stay in control of production.

8+
Years engineering cloud platforms
99%
MAP tag success across 1,200+ resources
20%
Faster incident response delivered
3
AWS environments migrated through one repeatable model

About

I make complex cloud systems easier to deliver and manage.

I lead cloud engineers and solve production platform problems in regulated and fast-moving environments. I focus on infrastructure as code, developer experience, and observability: creating consistent AWS foundations, reducing release risk, and giving teams systems they can understand when something goes wrong.

I came to platform engineering from mechatronics, industrial automation, and IoT. That background still shapes how I work today: automate repetitive tasks, make system behavior visible, and document the platform so teams can run it with confidence.

Core expertise

Five areas where I create the most value.

The disciplines I rely on to turn cloud complexity into resilient platforms, lower-risk delivery, and understandable production systems.

Infrastructure as Code & Cloud Foundations

Turn AWS architecture and governance into consistent, reviewable infrastructure using Terraform, CloudFormation, and organization-wide guardrails.

  • Terraform & CloudFormation
  • Multi-account landing zones
  • Organization-wide guardrails
  • MAP cost-allocation tagging

Platform & Developer Experience

Create paved roads from commit to production so developers can release with less platform friction, less risk, and better-defined ownership.

  • GitOps delivery workflows
  • GitHub Actions workflows
  • CodePipeline & CodeBuild
  • Documentation & enablement

Kubernetes & Container Platforms

Design and run fault-tolerant containerized systems on both managed EKS and bare-metal Kubernetes with secure ingress and zero-trust exposure.

  • Amazon EKS administration
  • Bare-metal cluster deployment
  • TLS termination & Ingress
  • Cloudflare Zero Trust tunnels

Observability & Cloud Operations

Make production behavior visible with actionable metrics, logs, traces, dashboards, and alerts that help teams detect and resolve problems faster.

  • CloudWatch, Prometheus, Grafana
  • Metrics, logs & traces
  • Actionable alerting
  • Incident response automation

Technical Leadership & Enablement

Lead and mentor cloud engineers with workshops, documentation, and one-on-one coaching focused on AWS certifications and DevOps maturity.

  • Team mentorship programs
  • Internal workshops
  • AWS certification coaching
  • Consistent technical writing

Selected Work

Production AWS engagements that moved the needle.

01Cloud Infrastructure Engineer

Zero-Downtime VPN Platform Migration

A repeatable blue/green replacement across three AWS environments

Challenge

Three OpenVPN Access Server hosts, one each for development, staging, and production, were running on an end-of-life operating system that could not support the required server upgrade. Replacing them had to preserve public addresses, certificates, configuration, and existing client profiles for approximately 260 user accounts.

Outcome

Built one parameterized CloudFormation template and two idempotent Systems Manager documents to reproduce, migrate, and reconcile all three environments. Each replacement was validated end to end before cutover, including account counts, certificate authority data, licensing, tunnel connectivity, DNS, and private-network access. The migration also removed public SSH, restricted administration through Session Manager, raised minimum TLS to 1.2, and encrypted storage.

3
AWS environments migrated
~260
User accounts preserved
Architecture
  1. Source
    Amazon Linux 2Access Server 2.13
  2. Migration
    SSM exportEncrypted S3 transfer
  3. Target
    Ubuntu 24.04Access Server 3.2
  4. Cutover
    Elastic IPRetained rollback host
Technology
  • CloudFormation
  • Systems Manager
  • Amazon EC2
  • Amazon S3
  • Secrets Manager
  • IAM
  • CloudWatch
  • OpenVPN Access Server
  • Ubuntu
  • POSIX shell
02Cloud Infrastructure Engineer

API Connectivity Root-Cause Diagnosis

Tracing an apparent permissions failure to private DNS interception

Challenge

A containerized service received HTTP 403 responses when calling a public regional API. The failure had been escalated as a permissions problem, but an interface VPC endpoint with private DNS enabled was overriding the regional API hostname and routing the request through a policy intended only for selected private APIs.

Outcome

Delivered an in-place Terraform change through a development-first rollout. The endpoint retained its identifier and no dependent resources were replaced. Validation confirmed both required conditions: the public API resolved publicly and succeeded, while the private APIs continued resolving through the VPC endpoint. The reviewed change was then rolled through the remaining environments.

3
Environments rolled out safely
0
Resources replaced
Architecture
  1. Workload
    Container servicePrivate VPC
  2. Resolution
    Regional hostnameVPC DNS
  3. Interception
    Interface endpointPrivate DNS
  4. Delivery
    Shared Terraform moduleStaged rollout
Technology
  • Terraform
  • Amazon VPC
  • AWS PrivateLink
  • API Gateway
  • Route 53
  • Amazon ECS
  • IAM
  • DNS
  • GitHub
03Solutions Architect & DevOps Engineer

Internal Database Operations Platform

A controlled AWS delivery workflow for a multi-environment database service

Challenge

An internal database operations service had working application code but no production-grade deployment workflow. It needed to run inside an existing AWS environment, support separate API and worker processes, consume a private shared dependency, and reach databases on connected development, staging, and production networks.

Outcome

Delivered healthy API and worker services behind an internal load balancer, with an auditable multi-source deployment pipeline, scoped IAM, and dedicated logging. The service went live in development and unblocked the downstream UI team within one week.

1 week
To unblock the downstream team
~10
Reviewed pull requests delivered
Architecture
  1. Source
    Service repositoryShared library
  2. Delivery
    CodePipelineCodeBuildECR
  3. Runtime
    ECS API serviceECS worker service
  4. Operations
    Internal ALBCloudWatchPrivate network
Technology
  • Terraform
  • Amazon ECS
  • CodePipeline
  • CodeBuild
  • Docker
  • Python
  • CloudWatch
04Creator & Cloud Engineer

Currency Genie Alexa Skill

Voice-first exchange rates and conversion for more than 140 currencies

Challenge

Reworked a Lambda-backed Alexa currency skill after its generic invocation name competed with other public skills and prevented requests from consistently reaching the correct endpoint. The replacement needed distinctive voice routing, strict development and production isolation, resilient provider handling, and a controlled certification process.

Outcome

Published Currency Genie to the Alexa Skills Store with country and currency rate lookups, spoken amount conversion, multi-turn sessions, repeat support, and voice-friendly formatting. Added separate development and production Lambda lanes, automated tests, sanitized CloudWatch logging, OIDC-based deployments, and explicit certification and publication controls.

140+
Currencies supported
Published
Alexa Skills Store
Architecture
  1. Voice
    Alexa NLUCurrency Genie interaction model
  2. Compute
    AWS LambdaPythonASK SDK
  3. Rates
    Exchange-rate provider5-minute cache
  4. Operations
    CloudWatchGitHub ActionsAWS OIDC
Technology
  • Python
  • AWS Lambda
  • Alexa Skills Kit
  • CloudWatch
  • GitHub Actions
  • AWS OIDC
05Technical Lead, Cloud & DevOps

AWS MAP Tagger

Automated resource discovery and tagging for AWS Migration Acceleration Program

Challenge

Python CLI that discovers and tags AWS resources for the AWS Migration Acceleration Program (MAP) in multiple customer accounts and regions. I created it to replace the AWS Tag Editor console workflow, which throttles silently after about 28 resources and cannot discover resources with zero existing tags.

Outcome

Raised single-run tag application success from 16% to 99% on 1,200+ CloudWatch Log Groups using exponential backoff retry. Reached zero-tagged RDS instances, EC2, EBS volumes, and Lambda functions invisible to the Resource Groups Tagging API via service-specific deep discovery in multi-account customer environments.

99%
Successful MAP tag application
1,200+
Resources covered in one run
Architecture
  1. Scope
    AWS accountsRegions
  2. Discovery
    Tagging APIService APIs
  3. Control
    ValidationExponential backoff
  4. Apply
    MAP tagsRun report
Technology
  • Python
  • boto3
  • AWS Resource Groups Tagging API
  • IAM
  • AWS Migration Acceleration Program

Experience

A career spanning cloud engineering, technical leadership, and customer strategy.

My current responsibilities at DinoCloud span two concurrent tracks: customer-facing cloud strategy and hands-on engineering leadership.

  1. Nov 2025 - Present
    DinoCloud
    Technical Account Manager
    Concurrent customer advisory track

    Guide customers in the AWS Cloud, connecting technical priorities with security, cost, resilience, and long-term platform strategy.

    • Lead customer reviews covering governance, security, cost optimization, and resilience, translating findings into prioritized action plans.
    • Shape savings and rightsizing recommendations using AWS cost governance, Savings Plans, Reservations, and usage patterns.
    • Enable secure cross-account access with CloudFormation and provide hands-on guidance during production and security incidents.
    • Earn customer trust with direct technical guidance, continuous improvement plans, and measurable service priorities.
    Impact

    Support customer AWS environments spanning 15+ accounts, connecting executive priorities with concrete actions across governance, security, resilience, and cost optimization.

  2. Dec 2024 - Present
    DinoCloud
    Technical Lead, Cloud & DevOps
    Concurrent engineering leadership track

    Lead and mentor cloud engineers while shaping resilient AWS platforms, security controls, observability, and delivery standards.

    • Mentor engineers with architecture reviews, live troubleshooting, documentation, and targeted development plans.
    • Design resilient AWS architectures for EC2, load balancing, RDS, S3, and multi-account environments.
    • Establish governance and security controls with AWS Organizations, Control Tower, WAF, GuardDuty, KMS, Secrets Manager, and VPC endpoints.
    • Improve production visibility using CloudWatch, X-Ray, AWS Config, dashboards, and automated alerting workflows.
    • Standardize monitoring and alerting so teams can detect, diagnose, and respond to production issues faster.
    Impact

    Provide technical direction and mentoring to 3–4 cloud engineers through architecture reviews, production troubleshooting, documentation, and targeted development plans.

  3. Jul 2021 - Dec 2024
    DinoCloud
    Cloud & DevOps Engineer

    Engineered and automated AWS infrastructure, delivery pipelines, monitoring, and serverless systems for production environments.

    • Established multi-account AWS foundations with Control Tower, AWS Organizations, and IAM Identity Center.
    • Provisioned infrastructure with Terraform and CloudFormation, including VPC endpoints and Systems Manager access patterns.
    • Automated monitoring and alerting with CloudWatch, Prometheus, Grafana, Slack, and Elastic Load Balancing integrations.
    • Developed serverless workflows using AWS Lambda and Step Functions.
  4. Mar 2016 - Jul 2019
    NextWells Corp
    Internet of Things Consultant

    Designed and deployed custom IoT solutions for industrial automation, integrating AWS and third-party services for real-time control.

    • Led development of wireless monitoring systems and communication protocols using Python and Arduino-compatible boards.

Stack

A pragmatic toolkit for cloud, security, and automation.

Cloud & AWS Services

  • Control Tower
  • AWS Organizations
  • IAM Identity Center
  • EC2
  • S3
  • Lambda
  • Step Functions
  • Route 53
  • RDS (Aurora MySQL & PostgreSQL)
  • DynamoDB
  • ACM
  • AWS Verified Access

Security & Cloud Governance

  • IAM
  • AWS WAF
  • GuardDuty
  • Security Hub
  • KMS
  • Secrets Manager
  • Service Control Policies
  • VPC Endpoints
  • Systems Manager (SSM)

Kubernetes & Containers

  • Amazon EKS
  • Docker
  • Fargate
  • ECR
  • Bare-metal Kubernetes
  • Ingress + TLS
  • NGROK
  • Cloudflare Zero Trust

Infrastructure as Code

  • Terraform
  • AWS CloudFormation

CI/CD & Automation

  • GitHub Actions
  • AWS CodePipeline
  • CodeBuild
  • CodeDeploy
  • Git

Monitoring & Logging

  • CloudWatch
  • SNS
  • Athena
  • Prometheus
  • Grafana
  • AWS Config
  • AWS X-Ray

Programming & Scripting

  • Python
  • Bash
  • JSON
  • Embedded C

Databases

  • Aurora MySQL
  • PostgreSQL
  • DynamoDB

AWS credentials

Verified Associate certifications

Principles

How I approach the work.

Patterns I return to in cloud architecture, automation, and technical leadership.

Understand before designing

I translate client needs into scalable, secure architectures. Every engagement starts with listening to understand the team, the constraints, and the business goals before proposing a single AWS service.

Document everything

Every meaningful change ends up in a GitHub README or a Docusaurus page. Useful documentation is not overhead; it is the difference between a platform that scales and one that depends on a single person's memory.

Automate relentlessly

GitOps pipelines, Lambda notifiers for EC2 alarms, and automated RDS backups with AWS Backup reflect how I treat manual steps as bugs and automation as the default posture.

Verify, don't assume

I validate ideas against the real environment, test the behavior that matters, and question results that look too easy. Whatever tools I use, I remain accountable for the outcome. Every line of code I ship is code I can troubleshoot, configure from scratch, and explain.

04Contact

Let's create a platform your team can trust.

Open to senior cloud, platform engineering, and technical leadership opportunities.