# Álvaro Mantilla — Cloud Systems Architect

> Senior Cloud Systems Architect with 20+ years building and securing mission-critical AWS infrastructure. Architecture, DevOps automation, security, AI operations, custom AI systems, and observability for teams that need resilience, clarity, and fewer production surprises.

## About

Álvaro Mantilla architects secure AWS, DevOps, AI operations, and Linux/OpenBSD/Unix-like infrastructure for teams that need resilience and calm delivery. With over two decades building critical systems, he turns hidden risk into boringly reliable systems — connecting architecture, security, automation, and AI-assisted operations into one calm delivery loop. He also designs and builds custom AI systems end-to-end, and cares deeply about the quiet details that often go unnoticed but matter the most.

His philosophy: "I build invisible castles made of bits and logic — just as Hiro taught me to guard what matters, in silence."

## Operating Model

1. **Map the blast radius** — Identify brittle dependencies, weak IAM boundaries, exposed paths, and operational debt before changes hit production.
2. **Design the control plane** — Turn infrastructure into repeatable, reviewable systems with sane network boundaries, automation, and deployment discipline.
3. **Instrument the unknowns** — Make logs, metrics, traces, and incident signals useful enough that teams can act before guesswork spreads.
4. **Keep it human-proof** — Reduce manual steps, document the sharp edges, and use AI where it shortens diagnosis without hiding accountability.

## Capabilities

### Cloud Architecture (AWS / network / IAM)
Design AWS environments that are explicit, resilient, and cost-aware: accounts, networks, IAM, compute, edge, storage, and recovery patterns.
- Signals watched: multi-AZ posture, IAM boundaries, recovery paths, cost pressure, edge behavior
- Deliverables: architecture review, AWS landing zone plan, network and IAM hardening, migration or modernization roadmap

### DevOps & Automation (Python scripts / Terraform / Ansible / CI)
Replace fragile manual work with Python infrastructure scripts, pipelines, infrastructure as code, repeatable deployments, and operational runbooks that teams can trust.
- Signals watched: manual release steps, config drift, rollback gaps, secret handling, backup confidence
- Deliverables: Python automation scripts, CI/CD pipeline design, Terraform and Ansible workflows, release strategy, backup and restore automation

### Security & Reliability (zero trust / encryption)
Treat security as system design: threat modeling, least privilege, encryption, network segmentation, and operational controls that survive growth.
- Signals watched: privilege sprawl, public exposure, key rotation, patch windows, audit gaps
- Deliverables: threat model, security posture review, hardening plan, incident-ready operating controls

### AI for Infrastructure & Ops (Bedrock / diagnostics)
Use LLMs where they create real leverage: log triage, alert explanation, incident summaries, knowledge retrieval, and root-cause acceleration.
- Signals watched: alert noise, slow diagnosis, knowledge silos, runbook entropy, context switching
- Deliverables: AIOps prototype, RAG diagnostics workflow, alert summarization, human-reviewed automation loop

### Custom AI Systems (RAG / AWS Knowledge Base / client fit)
Design client-specific AI systems with different capabilities, retrieval layers, and AWS Knowledge Base integrations so the model fits the workflow instead of forcing one shape on every client.
- Signals watched: client-specific capabilities, AWS Knowledge Base, RAG design, tenant variation, secure context control
- Deliverables: custom AI architecture, RAG + AWS KB integration, capability scoping per client, evaluation and rollout plan

### AI Engineering (RAG / agents / apps)
Build focused AI systems around business workflows: retrieval pipelines, internal assistants, agentic tools, and integration with existing infrastructure.
- Signals watched: unstructured knowledge, manual research, repeated decisions, tool fragmentation, data access rules
- Deliverables: RAG architecture, agent workflow design, evaluation harness, secure deployment plan

### Observability & Incidents (metrics / traces / logs)
Build signal systems that reveal what matters: useful logs, metrics, traces, dashboards, alert policies, and incident practices.
- Signals watched: unknown failure modes, noisy alerts, missing traces, slow handoff, unclear ownership
- Deliverables: observability map, dashboards and alert tuning, incident process design, post-incident learning loop

## Measured Impact

- 20+ years building critical systems
- 52% faster incident resolution with AIOps
- 78% workforce savings via AI-powered automation
- 27% infrastructure cost reduction at scale

## Technical Skills

### Cloud
- AWS (primary): EC2, ECS, Lambda, IAM, KMS, VPC, CloudFront, S3, RDS, Route 53, CloudWatch, Bedrock, Knowledge Base

### Operating Systems
- OpenBSD (production hardening, PF firewall, relayd)
- Linux (OpenSUSE, Ubuntu, Amazon Linux)
- Unix-like systems

### Programming Languages
- Python (automation, scripting, AI tooling)
- Rust (systems programming, backend services)
- Bash (shell scripting, automation)

### AI & LLMs
- AWS Bedrock and AWS Knowledge Base
- Claude and GPT model families
- RAG systems and vector retrieval
- AI agent frameworks
- Prompt engineering and evaluation

### DevOps & Security
- Terraform (Infrastructure as Code)
- Ansible (configuration management)
- Docker (containerization)
- Nginx (web server, reverse proxy)
- CI/CD pipelines
- Zero Trust architecture, TLS/SSL hardening, threat modeling

## What People Say

- "Alvaro is very knowledgeable in his domain. He goes above and beyond to get the work done, with a very good understanding of cloud infrastructure — a master in AWS deployments." — Venkatesh Walajabad, VP of Engineering, SchoolMint
- "One of the strongest engineers I have worked with. An exceptionally high level of technical skill, capable of building and delivering complex products quickly and with a high focus on quality." — Charles Cai, Lead/Principal Engineer, Futurewei Technologies
- "One of the most outstanding and talented professionals I have met. His work has been recognized for high quality and robust solutions." — Andrés Trujillo, Project Manager & Software Architect, Mnet
- "A reliable DevOps engineer with strong skills in architecting, configuring, and monitoring systems." — Monali Lodha, Founder, Radiance Foundation
- "A deep understanding of BSD and Linux systems, and very quick at solving problems, even in unfamiliar domains." — Tom Barron, Independent Software Developer
- "A Unix expert, a team player, and ready to help at any time." — Daniel Garcia, Senior Director, Customer Success & AI Transformation
- "Never stopped amazing me with his attitude toward perfection and deep knowledge of Linux systems." — Gastón Gorosterrazu, Chief Technology Officer

## Availability

Available for senior cloud architecture, DevOps/security leadership, AI operations, and consulting engagements:
- Full-time remote roles
- Contract or consulting work
- Architecture review and technical advisory

Remote / worldwide.

## Contact

- Website: https://www.alvaromantilla.com
- LinkedIn: https://www.linkedin.com/in/alvaro-mantilla-aws-architect
- Contact form: https://www.alvaromantilla.com/#contact

## Languages

- English (professional)
- Spanish (native)

## Other Versions

- Concise: https://www.alvaromantilla.com/llms.txt
- Spanish (full): https://www.alvaromantilla.com/llms-full-es.txt