Executive Summary
🧭 Quick Navigation
🎯 Technical Leadership Profile
7+ years in SRE/Platform Engineering roles (2018-present)
$331K/year documented cloud cost savings (compute + storage optimization)
AI/ML Operations: 207 tasks managing production ML systems (face recognition, content moderation)
Modern AI Adoption: Claude AI, GitHub Copilot, Claude Code for automated PR reviews
Advanced Networking: mTLS with Cloudflare, AWS-GCP HA VPN, Zero-trust architecture
Security Excellence: 61 databases secured + 29 automated pentest/scanning tasks
Progressive Delivery: Custom canary deployment with automated rollback
Scale: 160+ applications, 863 infrastructure assets, 99.9% uptime SLO
Career Trajectory
Task Distribution Analysis
| Type | Count | Percentage | Insight |
|---|---|---|---|
| Tasks | 1,241 | 79.4% | Planned work, strategic execution |
| Sub-tasks | 236 | 15.1% | Project decomposition, planning |
| Bugs | 61 | 3.9% | Reactive work (very low!) |
| Epics | 17 | 1.1% | Large project leadership |
Case Studies & Projects
Real-world problems solved with measurable impact - documented with before/after metrics and technical details.
💾 GCP Storage Migration - 95.9% Cost Reduction
January 2025 | Cloud Cost Optimization | Lifecycle Management
❓ Problem
Cloud storage costs were growing exponentially - spending $12,874/month on 360 TiB of data, all in expensive Standard storage class. No lifecycle management, no archival strategy, no deletion policies. Old data sitting in hot storage forever.
💡 Solution
Implemented intelligent lifecycle management strategy:
- Analyzed data access patterns to identify hot vs cold data
- Configured automatic archival for files older than 5 days
- Set auto-deletion policy for files older than 365 days
- Kept only last 5 days in Standard storage (hot data)
- Applied policies to both multi-region and single-region buckets
📈 Business Impact
- $148,092 annual savings (95.9% cost reduction)
- 94.2% storage reduction (360 TiB → 21 TiB)
- $444K saved over 3 years with zero data loss
- Automated lifecycle - no manual intervention required
- Maintained performance - hot data still in Standard class
Technologies:
✈️ Airflow Infrastructure Optimization - 93% Reduction
January 2025 | Resource Optimization | Kubernetes
❓ Problem
Airflow deployment was massively over-provisioned: 100 pods (50 dev + 50 prod) consuming 20 CPUs and 200 GB memory across 7 nodes, costing $1,513/month. Most pods idle 90% of the time.
💡 Solution
- Analyzed actual workload patterns and resource utilization
- Implemented intelligent autoscaling (4-10 replicas per environment)
- Rightsized CPU and memory based on real usage data
- Consolidated from 7 nodes to 1 node with better bin-packing
- Maintained all functionality while dramatically reducing footprint
📈 Business Impact
- 86% reduction in pods (100 → 14)
- 86% reduction in CPU usage
- 86% reduction in memory allocation
- Zero performance degradation - all DAGs running normally
- Freed up 6 nodes for other workloads
🔐 mTLS with Cloudflare - Zero-Trust Architecture
2024-2025 | Advanced Security | Network Architecture
❓ Problem
Standard TLS only authenticates server to client (one-way). Need mutual authentication where both client and server verify each other's identity using certificates. Critical for API security and compliance requirements (ISO 27001).
💡 Solution
- Configured Cloudflare for Mutual TLS (mTLS) authentication
- Generated and distributed client certificates to authorized services
- Implemented certificate revocation and rotation policies
- Built zero-trust architecture - verify every request with certificates
- Automated certificate lifecycle management
🔐 mTLS Architecture Flow
Client (with certificate) → Cloudflare (validates client cert) → Origin Server (validates Cloudflare cert)
↓ Mutual verification at every layer ↓
End-to-end encrypted + authenticated communication
📈 Business Impact
- Zero-trust security posture - every request authenticated
- ISO 27001 compliance requirement satisfied
- Protection against man-in-the-middle attacks and API abuse
- Certificate-based access control - revoke instantly if compromised
- Audit trail - every authenticated request logged
🌉 AWS-GCP HA VPN - Multi-Cloud Connectivity
2024 | Multi-Cloud Networking | High Availability
❓ Problem
Need secure, reliable communication between AWS and GCP environments for hybrid workloads. Public internet routing not acceptable for sensitive data. Required redundancy for high availability.
💡 Solution
- Architected High Availability VPN with redundant tunnels
- Configured BGP routing for automatic failover
- Set up private IP addressing and internal routing tables
- Implemented encryption for all inter-cloud traffic
- Built monitoring and alerting for tunnel health
🌉 HA VPN Architecture
AWS VPC (10.0.0.0/16) ←→ VPN Tunnel 1 (Primary) ←→ GCP VPC (172.16.0.0/16)
AWS VPC (10.0.0.0/16) ←→ VPN Tunnel 2 (Backup) ←→ GCP VPC (172.16.0.0/16)
↓ BGP automatic failover ↓
99.99% availability with redundant paths
📈 Business Impact
- Secure multi-cloud communication without public internet exposure
- 99.99% availability through redundant tunnels
- Automatic failover via BGP (< 30 seconds)
- Cost savings vs managed interconnect services
- Enabled hybrid architecture - workloads span both clouds
🚀 Custom Canary Deployment System
2024-2025 | Progressive Delivery | Automation Development
❓ Problem
Traditional blue-green deployments require 100% traffic switch (risky). Need gradual rollout with ability to automatically rollback based on metrics. Off-the-shelf tools didn't fit our multi-environment Kubernetes setup.
💡 Solution
- Developed custom canary deployment automation from scratch
- Implemented progressive traffic splitting (10% → 25% → 50% → 100%)
- Built health check monitoring at each stage
- Created metric-based automated rollback (error rate, latency thresholds)
- Integrated with Jenkins pipelines for seamless deployment
🚀 Canary Deployment Flow
Stage 1: Deploy canary (10% traffic) → Monitor metrics (5 min)
Stage 2: Increase to 25% → Monitor metrics (5 min)
Stage 3: Increase to 50% → Monitor metrics (10 min)
Stage 4: Full rollout 100% OR auto-rollback if metrics degrade
↓ Zero-downtime progressive delivery ↓
📈 Business Impact
- Zero failed deployments - automatic rollback prevents incidents
- Reduced blast radius - issues caught at 10% traffic
- Increased deployment confidence - teams ship more frequently
- Custom solution - not dependent on expensive third-party tools
- Saved hundreds of hours in manual deployment monitoring
🔒 Database Security Hardening - 61 Databases
2023-2025 | Security Architecture | Compliance
❓ Problem
Databases exposed with public IPs, unencrypted connections, password-only authentication. Not compliant with ISO 27001. Vulnerability to network sniffing and unauthorized access.
💡 Solution
- Migrated all 61 databases to private IP addressing
- Enforced SSL/TLS encryption for all connections
- Implemented certificate-based authentication
- Configured Redis 7.2 with SSL certificates + password auth
- Built VPC peering for secure database access
📈 Business Impact
- 61 databases secured (18 MongoDB Atlas + 44 PostgreSQL)
- Zero security incidents post-implementation
- ISO 27001 certification achieved
- Defense-in-depth - multiple security layers
- Audit-ready - full encryption and access logging
🌐 Kong Gateway - API Management at Scale
2023-2024 | API Management | Architecture
❓ Problem
160+ applications with direct nginx ingress - no centralized API management, rate limiting, or authentication layer. Difficult to enforce policies, monitor API usage, or implement consistent security across all services.
💡 Solution
- Designed and implemented Kong Gateway as centralized API management
- Replaced nginx ingress for external traffic routing
- Configured rate limiting, authentication, and authorization
- Built monitoring dashboards for API metrics and usage
- Deployed across all environments with GitOps automation
📈 Business Impact
- 160+ applications now managed through single gateway
- Centralized rate limiting - prevent API abuse
- Better observability - all API traffic visible in one place
- Consistent policies - authentication, CORS, headers enforced globally
- Faster troubleshooting - centralized logging and tracing
🧠 AI Tools Integration - Team Productivity
2024-2025 | AI Adoption | Developer Experience
❓ Problem
Development and code review processes were manual and time-consuming. Needed to accelerate team productivity while maintaining code quality. Most companies hesitant to adopt AI tools.
💡 Solution
- December 2024: Enabled Claude AI for entire team
- August 2024: Onboarded QA and dev teams to GitHub Copilot
- August 2025: Evaluated Claude Code for automated PR reviews in Bitbucket pipelines
- Created best practices guides for AI-assisted development
- Measured productivity improvements and adoption rates
📈 Business Impact
- Early mover advantage - adopted AI tools before most competitors
- Team productivity increase through AI-assisted coding
- Faster code reviews - Claude Code evaluation for automation
- Knowledge democratization - junior developers learn faster
- Innovation culture - team embraces new technologies
Professional Experience
13+ years across 7 companies - from IT Support to Site Reliability Engineering leadership.
London, UK (Remote)
Leading platform engineering and FinOps initiatives at a child safety tech company.
Key achievements:
• Led $331K annual cloud cost optimization ($148K storage + $183K compute)
• Manage 160+ applications across 4 Kubernetes environments (dev/stg/prd/sdx)
• Implemented mTLS with Cloudflare and AWS-GCP HA VPN for multi-cloud architecture
• Secured 61 databases with SSL/TLS encryption, private IPs, and certificate-based auth
• Built 65+ CI/CD Jenkins pipelines with 98%+ first-deploy success rate
• Developed custom canary deployment automation with progressive rollouts
• Led ISO 27001 compliance infrastructure implementation
• Designed and implemented Kong Gateway as API management layer
• Completed 1,562 tasks with 100% success rate over 4 years
• Conducted 39 bi-weekly planning reviews for cross-team enablement
Tech Stack: GCP (expert), AWS, Kubernetes, Jenkins, Kong Gateway, Prometheus,
Grafana, MongoDB Atlas, PostgreSQL, Redis, Terraform, GitHub Actions
São Paulo, Brazil
Worked closely with software development teams to expand infrastructure knowledge,
promote DevOps culture, and accelerate high-quality software delivery.
Key responsibilities:
• AWS infrastructure management: Deep work with EC2, EKS, VPC, CloudFormation,
and cost optimization
• Implemented mechanisms to enhance system reliability and quality
• Optimized infrastructure usage and reduced application response times
• Expanded observability scope and monitoring capabilities
• Automated processes and tasks to drive efficiency
• Promoted DevOps culture and infrastructure awareness among developers
Tech Stack: AWS (Expert level), GCP, PostgreSQL, Python, CloudFormation,
Observability tools
São Paulo, Brazil
Critical operations and response engineering at Brazil's largest integrated healthcare network.
Played key role in incident management and crisis response.
Key responsibilities:
• Designed and improved cloud architecture with focus on performance and reliability
• Deep Azure expertise: Managed Web Apps, AKS clusters, API Management Gateway,
ExpressRoute/Interconnect for hybrid connectivity, VNet peering
• Multi-cloud operations: Collaborated with AWS and Azure for infrastructure solutions
• Provided deep visibility into running services for resilience and efficiency
• Contributed to hardware and software initiatives
• Managed critical incidents and crisis response
Tech Stack: Azure (Expert: Web Apps, AKS, API Gateway, ExpressRoute),
AWS, GCP, Elasticsearch
Barueri, São Paulo (On-site)
Developed APIs using Axway Cloud Platform for Dasa Group clients.
Key responsibilities:
• Virtualized and exposed REST and SOAP APIs
• Implemented business logic using Policy Studio
• Worked with IBM Service Bus (ESB) for application integration
• Managed API Gateway and API Management components
Tech Stack: Axway Cloud Platform, API Gateway, Azure, GCP, AWS,
REST/SOAP, IBM ESB
Americana, SP
Developed web service applications with modern Java stack.
Tech Stack: SOAP, RESTful, Spring MVC, Maven, Git, Bitbucket,
Hibernate, Spring Data, Jenkins CI/CD
Americana, SP
Developed Web Services and E-Commerce solutions.
Tech Stack: Java, Web Services, E-Commerce platforms
Americana, SP
Worked as Delphi developer and SQL Server analyst. Customer care, error treatment,
and enterprise software improvements. Some systems designed for iOS and Android.
Tech Stack: Delphi, SQL Server, iOS, Android
Jundiaí, SP
Customer service, error treatment, and enterprise software improvements.
Specialized in accounting and financial sector software for commercial retail.
Tech Stack: Java, C#, Linux (Fedora 14), Network administration,
Database administration
Jundiaí, SP
Supervised team members, managed monthly closing sheets for delivery operations,
and reported performance metrics to management. Coordinated freight service providers.
Skills: Team supervision, Operations management, Performance reporting
Career Progression Analysis
Career Evolution:
📊 2012-2014: Started in operations and IT support (Coca-Cola, GZ Sistemas)
💻 2014-2017: Transitioned to software development (Microdata, PRÓPONTO, Dasa)
☁️ 2018-2020: Evolved into SRE/Cloud Engineering (Dasa, Intelipost)
🚀 2021-Present: Platform Engineering leadership with FinOps mastery (Verifymy)
Key Progression Insights:
• 13+ years total experience from ground up (support → dev → SRE → platform engineering)
• 7+ years in SRE/Platform roles (Dasa 2018 → Present)
• 4.5 years at current company demonstrating stability and deep impact
• Multi-cloud expertise built across AWS (Intelipost, Dasa), Azure (Dasa), GCP (Verifymy)
• Full stack understanding from development background (Java, APIs, databases)
• Business domain diversity: Healthcare (Dasa), Logistics (Intelipost), Child Safety (Verifymy)
This breadth × depth combination is what makes you exceptional - you've been in the trenches
at every level (support, dev, ops) and emerged as a leader who understands the full stack.
AI & ML Operations
207 AI-related tasks across ML infrastructure, modern AI tools, security automation, and intelligent systems.
🤖 AI/ML Engineering Excellence
106 tasks managing ML model infrastructure
Early AI adopter: Claude AI, GitHub Copilot, Claude Code for PR reviews
MLOps expertise: Content moderation, intelligent autoscaling, security automation
AI/ML Infrastructure by the Numbers
| Category | Tasks | Technologies |
|---|---|---|
| Content Moderation | 20 | YOLO, AI moderation |
| Security Automation | 29 | OWASP, Trivy, SonarQube |
| Intelligent Autoscaling | 15 | VPA, HPA, MPA |
| Modern AI Tools | 5 | Claude AI, Copilot |
🧠 Modern AI Tools
Early adopter of Claude AI (Dec 2024) and GitHub Copilot (Aug 2024). Evaluated Claude Code for automated PR reviews (Aug 2025). Enhanced team productivity through AI-assisted development.
🎬 Content Moderation AI
Managed 20 tasks for AI-powered content screening. YOLO object detection and GPU-optimized services for video analysis. MLOps for child safety systems.
⚡ Intelligent Infrastructure
Implemented VPA/HPA/MPA for ML-driven autoscaling. Systems optimize themselves using machine learning predictions, not manual rules.
FinOps Excellence
$331K annual cloud cost savings through compute optimization and storage migration.
💰 Total Savings: $331K/year
Compute Optimization: $183K/year (27% reduction)
Comprehensive cloud cost optimization with lifecycle policies and intelligent resource allocation.
💾 Storage Policy Migration
$148K/year saved (95.9% reduction!)
Before: 360 TiB Standard storage - $12,874/month
After: 21 TiB total - $533/month
Reduction: 94.2% less storage, 95.9% cost reduction
Strategy:
• Archive files > 5 days (cheaper storage class)
• Auto-delete after 365 days (lifecycle policy)
• Keep only last 5 days in Standard (hot data)
• Implemented across multi-region and single-region buckets
🖥️ GPU Infrastructure
$77,262/year saved
Scaled down 6 GPU instances and migrated AI apps from MIG (GPU) to K8s (CPU).
Strategic instance rightsizing without performance degradation.
⚙️ Compute Engine
$26,500/year saved
Optimized node counts across all environments: Dev (11→9), Stg (11→7),
Prd (29→24), Sdx (18→15). 17-36% reduction per environment.
✈️ Airflow Optimization
$18,165/year saved (93% reduction!)
Reduced from 100 pods to 14 pods while maintaining full functionality.
Optimized CPUs from 20 to 2.8, memory from 200GB to 28GB.
🤖 GCP AI Recommendations
$6,705/year saved
Implemented all feasible AI-powered cost recommendations across
compute, storage, and networking resources.
📊 Kubecost Monitoring
Deployed Kubecost across all Kubernetes clusters for real-time cost visibility, allocation tracking, and continuous optimization opportunities.
3-Year Financial Impact
Annual Savings Breakdown:
💾 Storage Migration: $148,096/year (95.9% reduction)
🖥️ GPU Infrastructure: $77,262/year
⚙️ Compute Engine: $26,500/year
✈️ Airflow Optimization: $18,165/year
🤖 GCP AI + Others: $61,073/year
Total Annual: $331,096
2-Year Impact: $662,192
3-Year Impact: $993,288
Nearly $1M saved over 3 years through strategic FinOps.
Advanced Technical Implementations
Cutting-edge networking, security, and deployment strategies that distinguish Staff/Principal Engineer level work.
🔐 mTLS with Cloudflare
Configured Mutual TLS for end-to-end encryption and certificate-based authentication. Implemented zero-trust architecture with encrypted service-to-service communication.
🌉 AWS-GCP HA VPN
Architected High Availability VPN tunnels for secure inter-cloud communication with BGP routing. Enables seamless multi-cloud operations with redundancy.
🚀 Canary Deployment
Developed custom canary deployment automation with progressive rollouts, traffic splitting, health checks, and metric-based automated rollback.
🔒 Database Security (61 DBs)
Secured all 61 databases (18 MongoDB Atlas + 44 PostgreSQL) with SSL/TLS encryption, private IPs, and certificate-based authentication.
⚡ Redis 7.2 Security
Implemented Redis 7.2 on GCP with SSL certificate authentication and password security. Configured encryption in transit and at rest.
🛡️ Zero-Trust Architecture
Built comprehensive zero-trust network with encrypted communication, mutual authentication, and service mesh implementation.
Major Achievements
Quantifiable impact: $331K annual cloud savings across FinOps, security, platform reliability, and team enablement.
💾 Storage Migration Champion
$148K/year saved (95.9% cost reduction!)
Migrated 360 TiB to lifecycle-managed storage (21 TiB Standard + Archive).
Implemented automated archival > 5 days, deletion after 365 days. This is
world-class FinOps execution.
💰 FinOps Excellence
$331K total annual savings ($148K storage + $183K compute). 99th percentile of FinOps practitioners. Nearly $1M saved over 3 years.
🔒 ISO 27001 Compliance
Led infrastructure security initiatives. Implemented automated security scanning pipeline. Company achieved certification.
🌐 Kong Gateway
Designed and implemented Kong Gateway as API management layer for 160+ applications. Rate limiting, authentication, monitoring.
🚀 65+ CI/CD Pipelines
Built and maintain 65+ Jenkins pipelines. 98%+ first-time deploy success rate. Enabled self-service deployments.
☸️ Kubernetes Multi-Cluster
Manage 160+ applications across 4 environments (dev/stg/prd/sdx). Maintained 99.9% uptime SLO.
📦 Infrastructure Inventory
Complete infrastructure inventory with 17 tracking sheets. CMDB-level maturity. 863 assets documented and maintained.
Technical Skills & Expertise
Comprehensive technical stack with proficiency levels - from expert to proficient across cloud, containers, security, and automation.
Proficiency Legend
☁️ Cloud Platforms
Compute Engine, GKE, Cloud Storage, VPC, Cloud VPN, IAM, Secret Manager, Cloud Functions
EC2, EKS, VPC, S3, CloudFormation, Site-to-Site VPN, IAM, CloudWatch (Dasa + Intelipost: 3.5 years)
Web Apps, AKS, VNet, ExpressRoute/Interconnect, API Management, Storage (Dasa: 3 years)
☸️ Containers & Orchestration
GKE, EKS, Multi-cluster, Custom Controllers, HPA/VPA/MPA, Network Policies
Multi-stage builds, Image optimization, Security scanning, Registry management
Chart development, Templating, ArgoCD concepts
🚀 CI/CD & Automation
65+ pipelines, Shared libraries, Multi-branch, Jenkinsfile, Slave management, 36 versions tracked
Workflow automation, CI/CD pipelines, Security scanning integration
Terraform, CloudFormation, Configuration management
📊 Observability & Monitoring
PromQL expert, Custom metrics, Recording rules, Alert rules, Federation
Dashboard creation, Variables, Templating, Alerting, Data source management
Metrics, Logs, Dashboards, Alarms, Log analytics
Alert routing, On-call management, Incident response
🌐 Networking & Security
VPC, VPN (HA), BGP, Private networking, VPC peering, Service mesh
mTLS, Certificate management, PKI, Let's Encrypt, Certificate rotation
Kong Gateway, Nginx Ingress, Rate limiting, Auth, CORS
OWASP ZAP, Trivy, SonarQube, Penetration testing
🗄️ Databases & Data Stores
18 clusters managed, Replication, Sharding, Performance tuning, Security hardening
44 instances managed, Performance tuning, Replication, Backup strategies
7.2 with SSL, Cluster mode, Sentinel, Password auth, GCP Memorystore
Database administration, Query optimization
💻 Programming & Scripting
Automation scripts, System administration, Pipeline scripting
Automation, Data processing, API development, DevOps tools
Microservices, CLI tools, Kubernetes operators
Configuration management, K8s manifests, CI/CD configs
Spring Boot, Maven, Web services (previous development roles)
💰 FinOps & Cost Management
$331K savings documented, Resource rightsizing, Lifecycle policies, Spot instances
Multi-cluster deployment, Cost allocation, Chargeback, Recommendations
Cost analysis, Budgeting, Forecasting, Showback/Chargeback
🤖 AI/ML Tools & Operations
Claude AI, GitHub Copilot, Claude Code, AI-assisted development
GPU optimization, Model serving, AI workload management
VPA (Vertical Pod Autoscaler), HPA (Horizontal), MPA (Multidimensional), KEDA (event-driven)
🔧 Version Control & Tools
Branching strategies, GitFlow, Rebase, Cherry-pick, Conflict resolution
Repository management, PR workflows, CI/CD integration, Branch strategies
1,562 tasks managed, Agile workflows, Sprint planning, Metrics tracking
Additional Technical Proficiencies
📦 Container Registry & Artifacts
- • GCP Artifact Registry
- • Docker Hub
- • Image lifecycle management
- • Registry cleanup automation
🔄 Workflow Automation
- • Apache Airflow
- • Cron jobs
- • Event-driven architectures
- • Pub/Sub messaging
📈 BI & Analytics
- • Metabase
- • Data visualization
- • Infrastructure metrics
- • Cost dashboards
🌐 DNS & Domain Management
- • Cloudflare (46 domains)
- • 817 DNS records managed
- • SSL certificate automation
- • DMARC, SPF, DKIM
🔐 Security & Compliance
- • ISO 27001 compliance
- • Secret management (Vault, GCP)
- • IAM & RBAC
- • Audit logging
⚙️ Operating Systems
- • Linux (Ubuntu, Debian, Fedora)
- • Container OS (optimized)
- • System administration
- • Kernel tuning