JOINVILLE · BRAZIL · REMOTE

Cloud platforms
that work
when it matters.

I'm Cristiano Nilsen — over 20 years in infrastructure, cloud and AWS since 2019. In my last SaaS platform role, I maintained +15 EKS clusters, +1,700 containers and +20 AWS accounts via Organizations in 24x7 operations. Cloud Engineer / Architect focused on AWS, automation and security. I also develop practical AI projects applied to cloud operations, focused on reliable context, automation, security and human validation.

cristiano@nilsen

01 const platform = {

02   eksClusters: "+15",

03   containers: "+1,700",

04   awsAccounts: "+20 Organizations",

05   uptime: "24x7",

06   stack: [

07    "EKS", "Terraform",

08    "security", "observability"

09   ]

10 };

› operational at production scale_

✓
CURRENT STATUSOpen to opportunities
PROFESSIONAL OPPORTUNITIES

Technical depth with architectural perspective.

01
⌘

FOR RECRUITERS & TECHNOLOGY LEADERS

Professional opportunities

Available to join teams as an employee or contractor, bringing architectural vision, technical depth and experience in business-critical environments.

  • Cloud & DevOps Engineer
  • Cloud Solutions Architect · SRE
  • Platform Engineering · DevSecOps
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PROFESSIONAL CASE STUDIES

Architecture & Cloud Engineering Cases

Architectures, challenges and technical decisions based on real experience building, evolving and operating cloud platforms.

Platform Scale
20+ AWS Accounts+15 EKS Clusters+1.700 Containers24x7 SaaS Platform
08Engineering Practice / AI

AI-Assisted Cloud Engineering & Operations

AI as an engineering accelerator for investigation, documentation and automation in cloud engineering — always with human technical validation.

Core technologies
Generative AICloud OperationsLog AnalysisScriptingDocumentation
View case →
09Engineering Practice / Context Engineering

AI Context Engineering for Cloud & Security Operations

Building reusable infrastructure context to guide operational and security investigations with AI, democratizing knowledge across teams.

Core technologies
Generative AIAWSAmazon EKSKubernetesAWS WAF
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More than two decades in IT. Over 20 years in infrastructure, cloud and AWS since 2019.

From traditional infrastructure to operating SaaS platforms with +15 EKS clusters and +20 AWS accounts. The work is not about tools — it is about architecture that sustains real operations.

+15EKS Clusters
+1,700containers
+20AWS accounts
via Organizations
01

AWS at scale

Architecture and evolution of a SaaS platform across complex AWS environments.

02

Integrated security

AWS WAF, IAM, GuardDuty, Inspector, Config and network controls integrated with architecture and operations.

03

Reliable automation

Terraform, CI/CD, federated identity and versioned infrastructure for traceable change.

04

Applied observability

Grafana, Loki, Datadog, Instana and CloudWatch, with log pipelines using Data Firehose, S3 and Athena.

ENGINEERING PROJECTS & LABS

Strong foundations.
Practice beyond a single cloud.

Independent projects and labs demonstrate how I apply AWS-grounded architecture principles to other providers and emerging engineering practices. This work is intentionally separated from professional experience.

View projects on GitHub
01

AWS Infrastructure as Code

Architecture, networking, security and automation with Terraform and CI/CD practices.

AWS · Terraform · IaC
02

Multi-cloud Kubernetes

Hands-on exploration of transferable foundations across EKS, AKS, GKE and OKE.

AWS · Azure · GCP · OCI
03

Platform Engineering & IDP

Exploring and building self-service infrastructure, golden paths and Developer Experience concepts by combining cloud, Kubernetes, IaC and CI/CD.

IDP · DevEx · Automation
04

Observability & Operations

Monitoring, telemetry analysis, log pipelines and data-driven investigation.

Grafana · Loki · CloudWatch
AI ENGINEERING LABS

AI applied to operations, context and technical decisions.

Hands-on generative AI projects applied to documentation, automation and cloud operations. The goal is to explore controlled context, integrations, traceability, guardrails and human review.

MVP in development
05

QualityDocs AI Copilot

AI assistant for analyzing, comparing and consolidating documents, with versioned prompts, source-traceable responses and human review before any decision.

Prompt Engineering · RAG · LLM Evaluation · Human-in-the-loop
Repository coming soon
MVP in development
06

CloudOps AI Workflow

AI workflow to accelerate operational investigations: receives alerts or requests, queries runbooks and technical context, generates a structured diagnosis and routes actions for human validation.

n8n · AI Agents · MCP · AWS · Observability · Guardrails
Repository coming soon
EXPERIENCE & CREDENTIALS

Technical depth with
business perspective.

A career built from infrastructure fundamentals to technical leadership across business-critical cloud platforms.

2005 — PRESENT

Principal Cloud & Infrastructure Consultant

Nilsen Tech

Architecture, implementation and evolution of cloud, infrastructure, networking, identity, security and digital presence.

2019 — 2026

Cloud Architect & Engineer

SoftExpert

Internal technical reference for AWS, connectivity, cloud security, observability and automation supporting a complex SaaS platform.

EDUCATION

  • Postgraduate degree in Cloud Computing Architecture and Projects
  • Technology degree in Computer Networks
  • Technical degree in Information Technology

EXPERTISE

AWS — primary specializationMulti-Cloud LabsCloud ArchitectureKubernetes / EKSTerraform / OpenTofuDevOps & SREPlatform Engineering / IDPDevSecOpsCloud SecurityCloudflare / Orca SecurityNetworkingCI/CDObservabilityAI-First EngineeringGenerative AI · Context EngineeringRAG · AI Agents · LLMOps
THE NEXT STEP CAN START HERE

Cloud platform that doesn't
break at scale?

Or a second technical opinion on architecture, security or operations of your environment.

Experience in SaaS platforms with 24x7 operations and global distribution