Machine-readable

AI & Agent Access

Structured professional information for AI systems, agents and machine-assisted workflows.

Identity

Name

Cristiano Nilsen

Location

Brazil

Primary Focus

Cloud, DevOps and Platform Specialist

Primary Cloud

AWS

Work Setup

Remote

cristiano@nilsen.com.br

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.

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

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

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

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

Areas of Practice

Cloud Architecture

Cloud & DevOps Engineering

Site Reliability Engineering

Platform Engineering

DevSecOps & Cloud Security

Observability & Operations

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.

Structured Data Preview

Structured summary for consumption by AI systems and agents.

{
  "@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"
  ]
}

Resources

Structured files available for consumption by agents and AI tools.

resume.json

Structured professional profile

projects.json

Detailed projects and labs

cases.json

Technical cases with context

llms.txt

LLM-optimized context