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About · Resume

I'm Daniel Ulisses. I design and automate cloud platforms.

Senior DevOps Engineer & Cloud Architect. 15+ years in IT, from datacenters to Azure, AWS and GCP.

I'm a Senior DevOps Engineer and Cloud Architect with 15+ years in IT. I started out racking servers, running VMware datacenters and keeping Exchange alive, and today I design and automate cloud platforms on Azure, AWS and Google Cloud.

Most of my work sits where architecture meets automation: Infrastructure as Code with Terraform and Terragrunt, CI/CD with Azure DevOps and GitHub Actions, and Kubernetes (mostly AKS) delivered through GitOps with Argo CD. I've worked on cloud migrations, enterprise data platforms, greenfield Kubernetes builds and a lot of "let's bring this brownfield estate under IaC" projects.

Having run infrastructure the hard way for years (networks, firewalls, storage, load balancers) makes me a better cloud engineer: I know what's under the abstractions. Lately I'm spending more and more time on AI engineering for operations, using LLMs and agents to take toil off infrastructure teams, safely.

years in IT
15+
certifications
20+
major clouds
3
daily visitors served
1M+

Focus areas

Cloud architecture

Azure-first but fluent in AWS and GCP: landing zones, networking, identity, migrations and data platforms on Microsoft Fabric and Databricks.

IaC, CI/CD & Kubernetes

Terraform, Terragrunt and Terratest, Azure DevOps and GitHub Actions pipelines, AKS delivered with GitOps and Argo CD.

AI engineering for DevOps

Enterprise AI rollouts like Gemini Enterprise, plus LLMs and agents for IaC review, incident triage and runbook automation, with proper guardrails.

Knowledge sharing

Clear documentation, presentations and hands-on sessions, so the teams I work with can own what we build.

Current projects

Now

Gemini Enterprise at large scale

Rolling out Google Gemini Enterprise across a large organisation: platform setup, identity and access, data connectors, governance and security guardrails, and enablement for the people using it.

  • Gemini Enterprise
  • Google Cloud
  • AI governance
Now

Kubernetes applications with full CI/CD

Administering Kubernetes applications end to end: build and test pipelines, GitOps-driven deployments, environment promotion, and day-2 operations.

  • Kubernetes
  • Argo CD
  • CI/CD
  • Helm
Now

Data engineering on Microsoft Fabric & Databricks

Implementing data platforms on Microsoft Fabric and Databricks, with infrastructure as code, automated deployments and CI/CD for data workloads.

  • Microsoft Fabric
  • Databricks
  • Terraform
  • Azure

Experience

  1. 2022 — present · Remote

    Lead Cloud Engineer

    • Leading a large-scale Gemini Enterprise implementation: platform setup, identity and access, data connectors, governance and security guardrails.
    • Administering Kubernetes applications end to end with full CI/CD: build and test pipelines, GitOps deployments, environment promotion and day-2 operations.
    • Implementing data engineering platforms on Microsoft Fabric and Databricks, provisioned with Infrastructure as Code and delivered through CI/CD.
    • Architecting IaC and pipeline automation across Azure, AWS and GCP, including cloud migrations, greenfield AKS platforms and brownfield IaC adoption.

  2. 2016 — 2022 · Brazil

    Azure Architect & Senior DevOps Engineer

    • Designed and deployed new Azure projects with Azure DevOps and Terraform, from landing zone to application.
    • Ran AKS clusters and application delivery with GitOps (Argo CD) and Ansible for configuration management.
    • Administered Azure and Microsoft 365 environments for clients, plus on-premises Microsoft infrastructure.
    • Built PowerShell, Bash and Azure CLI automation, including data migrations between private and public clouds.

  3. 2013 — 2016 · São Paulo, Brazil

    Systems Administrator

    • Migrated the entire Exchange and Lync infrastructure to Office 365, and implemented Office 365 SSO for thousands of users.
    • Automated AWS EC2 provisioning and application deployments with Puppet and Jenkins.
    • Ran a VMware vSphere datacenter with 200+ virtual servers serving 800+ users, including upgrades from 5.1 to 5.5 and 6.0.
    • Helped build a clustered NGINX platform behind F5 and A10 load balancers, serving websites with 1M+ daily visitors.
    • Migrated the perimeter from pfSense to Fortinet and brought a new HP 3PAR storage array into production.

  4. 2012 — 2013 · São Paulo, Brazil

    Senior Infrastructure Analyst

    • Responsible for 100+ virtual servers in a hybrid cloud on Hyper-V and AWS.
    • Deployed SharePoint environments for clients and helped developers debug customised farms.
    • Deployed and administered the company's Office 365 tenant.

Skills

Cloud
Microsoft AzureAWSGoogle CloudMicrosoft 365
Containers & GitOps
KubernetesAKSArgo CDHelmDocker
Infrastructure as Code
TerraformTerraform CloudTerragruntTerratestARM templatesAnsiblePowerShell DSCPuppet
CI/CD
Azure DevOpsGitHub ActionsJenkins
Scripting & languages
PowerShellBashPythonGoYAML
Networking & security
Fortinet / FortiGatepfSenseF5A10 NetworksAzure Application GatewayRouting & switching
Infrastructure
VMware vSphereHyper-VWindows Server & ADExchangeLinuxNGINXHP / Dell / EMC storage
Data
Microsoft FabricDatabricksSQL ServerPostgreSQLMySQLCosmos DB
AI engineering
Gemini EnterpriseLLM APIsAgentsMCPEvaluation harnesses

Certifications

  • Azure Architect, Azure DevOps Engineer, MCSE and more (20 certifications)

    Microsoft

  • Professional Cloud Architect

    Google Cloud

  • Professional Cloud DevOps Engineer

    Google Cloud

  • VCA-Cloud and VCA-DCV

    VMware

Education

  • MBA, Business Administration

    Universidade Nove de Julho · 2021

  • Systems Analysis (degree)

    Universidade Nove de Julho · 2009

How I like to work

Teach while building

The best platform is one the whole team understands. I pair, document and record walkthroughs as I go, so nobody depends on me to run what I built.

Everything as code

Infrastructure, policies, pipelines, dashboards. If it is not in Git and reviewed, it does not exist.

Boring technology first

Managed services and well-known CNCF projects before custom tooling. The most maintainable platform is the one your next hire already knows.

AI with guardrails

LLMs and agents are great teammates for operations, as long as they go through the same reviews, permissions and audit trails as everyone else.

Contact

Get in touch

Questions about a post, want to swap notes on platform engineering or AI tooling, or just want to say hi? My inbox is open, and I read everything myself.

No newsletters, no spam. Just a reply from me.