Machine-readable

AI & Agent Access

Informações profissionais estruturadas para sistemas de IA, agentes e fluxos de trabalho assistidos por máquina.

Identidade

Identity

Nome

Cristiano Nilsen

Localização

Brazil

Foco principal

Cloud, DevOps and Platform Specialist

Cloud principal

AWS

Modelo de trabalho

Remote

cristiano@nilsen.com.br

Resumo Profissional

Professional Summary

Cloud, DevOps and Platform specialist with extensive infrastructure experience and hands-on production work with AWS, Kubernetes, Infrastructure as Code, observability, networking, security and automation.

Cristiano Nilsen is a Cloud, DevOps and Platform specialist with more than 20 years of experience in infrastructure and technology, focused on AWS, platform engineering and reliability. His recent work includes operating and evolving distributed SaaS infrastructure across multiple AWS accounts and geographic regions, alongside automation, IaC and applied AI labs published on GitHub.

Tecnologias Principais

Core Technologies

cloud

AWSOCI

aws

EKSEC2VPCS3IAMIAM Identity CenterAWS OrganizationsWAFCloudWatchConfigBackupGuardDutyInspectorSESEventBridgeFirehoseAthena

containers

KubernetesAmazon EKSDockercontainerd

infrastructure As Code

TerraformOpenTofuHelmAnsible

cicd

JenkinsGitLab CIGitHub Actions

observability

GrafanaLokiPrometheusDatadogInstanaCloudWatch

security

AWS WAFCloudflareImpervaModSecurityCrowdStrikeOrca SecurityIAMSCPs

networking

AWS VPCroutingNAT GatewayLoad BalancersingressIPv6VPC Flow Logs

Experiência em Produção

Production Experience

✓ Global 24x7 SaaS production operations
✓ Multi-account AWS environments governed through AWS Organizations
✓ Containerized workloads orchestrated on Amazon EKS across multiple regions
✓ Multi-region infrastructure spanning South America, North America, Europe and Asia

Cases Técnicos Selecionados

Selected Technical Cases

AWS WAF Architecture

production

Centralized domain protection with AWS WAF, rate limiting, managed rule groups, logging and monitoring. Automated via Terraform and CI/CD pipelines.

AWS WAFTerraformCI/CD

AWS Organizations and IAM Identity Center

production

Multi-account environment with Permission Sets, security baselines, SCPs and governance infrastructure as code.

AWS OrganizationsIAM Identity CenterInfrastructure as CodeSCPs

Cloud Network Standardization

production

VPC architecture standardization across multiple AWS accounts with centralized logging via VPC Flow Logs, Firehose and CloudWatch.

VPCVPC Flow LogsFirehoseCloudWatch

Kubernetes / Amazon EKS Operations

production

Production EKS operations covering networking, ingress, storage, security, troubleshooting, upgrades and reliability.

EKSKubernetesnetworkingsecurity

Application-Level WAF

production

ModSecurity with Nginx and OWASP Core Rule Set. Anomaly scoring with configurable activation as a separate project alongside AWS WAF.

ModSecurityNginxOWASP CRS

AI-Assisted Cloud Operations Context

production

A structured technical context layer for querying infrastructure information using AI. Included cloud resources, AWS accounts, regions, infrastructure standards, security guardrails, WAF log locations, VPC Flow Log locations, Firehose pipelines and operational procedures. Enabled less experienced team members to consult technical information more easily and support operational and security analyses.

Context EngineeringAIoperational context

Projetos e Labs

Projects and Labs

production

AWS WAF automation

AWS WAFTerraformCI/CD

lab

AWS Organizations

AWS OrganizationsIAM Identity Center

lab

IAM Identity Center

IAMPermission SetsSCPs

production

Kubernetes / Amazon EKS

EKSKubernetesDocker

lab

Argo CD / GitOps

Argo CDGitOpsKubernetes

lab

OpenTelemetry

OpenTelemetryObservability

lab

Backstage / Internal Developer Platform

BackstageIDPPlatform Engineering

production

Cloud observability

GrafanaLokiCloudWatchDatadog

portfolio_project

Generative AI for infrastructure

Generative AIContext Engineering

production

AI-assisted operational context

AIContext Engineeringoperational automation

production

Cloud automation

TerraformCI/CDAWS

Áreas de Atuação

Areas of Practice

Cloud Architecture

Cloud & DevOps Engineering

Site Reliability Engineering

Platform Engineering

DevSecOps & Cloud Security

Observability & Operations

Posicionamento

Positioning

Practice centered on cloud architecture, platform engineering and reliability, with an AI-first approach to operations (AIOps): AI accelerates analysis and execution, while technical decisions stay human — with controlled context, guardrails and traceability. Labs, automation and applied AI are built in my own projects and shared publicly on GitHub.

Visualização JSON

Structured Data Preview

Resumo estruturado para consumo por sistemas de IA e agentes.

{
  "@type": "Person",
  "name": "Cristiano Nilsen",
  "jobTitle": "Cloud, DevOps and Platform Specialist",
  "location": "Brazil",
  "worksFor": {
    "@type": "Organization",
    "name": "cristiano@nilsen.com.br"
  },
  "knowsAbout": [
    "AWS",
    "OCI",
    "EKS",
    "EC2",
    "VPC",
    "S3",
    "IAM",
    "Kubernetes",
    "Amazon EKS",
    "Docker",
    "containerd",
    "Terraform",
    "OpenTofu",
    "Helm",
    "Ansible"
  ],
  "sameAs": [
    "https://www.linkedin.com/in/cristianon",
    "https://github.com/crilsen"
  ]
}

Recursos

Resources

Arquivos estruturados disponíveis para consumo por agentes e ferramentas de IA.

resume.json

Perfil profissional estruturado

projects.json

Projetos e labs detalhados

cases.json

Cases técnicos com contexto

llms.txt

Contexto otimizado para LLMs