Francisco Azevedo
Senior SRE & DevOps Engineer | AI‐Driven Infrastructure Architect | WPPMedia
Professional Summary
Innovator in cloud infrastructure and AI-enabled operations with 12+ years crafting resilient, self-healing platforms at scale. At WPPMedia, I architected Pulumi-based Infrastructure as Code frameworks and integrated AI agents to automate environment provisioning, anomaly detection, and remediation—accelerating delivery and reducing toil by 40%. I’m now packaging these battle-tested toolkits and services for organizations seeking turnkey, AI-powered DevOps solutions.
Core Competencies
AI-Powered Automation:
Custom LLM agents for pull-request triage, auto-remediation scripts, and CI/CD chatbots.
ML-driven anomaly detection pipelines (Prometheus → TensorFlow) with auto-scaling triggers.
Pulumi & Infrastructure as Code:
Multi-language stacks (TypeScript, Python) for GCP/AWS/Azure provisioning.
Cross-project abstractions: DR workflows, network fabrics, IAM policies as code.
Dynamic, policy-aware deployments via Pulumi Automation API.
Cloud & Container Orchestration: GCP, AWS, Kubernetes, Docker, Helm
CI/CD & GitOps: GitLab CI, Argo CD, Flux, Terraform, Ansible
Observability & Resilience: Prometheus, Grafana, ELK, New Relic, SLO/SLI design
Security & Compliance: OPA/Gatekeeper, Vault, IAM hardening, automated compliance scans
Highlighted Achievements
AI-First Ops: Built a Slack-integrated AI assistant that triages alerts, suggests runbook steps, and can open merge requests—cutting on-call fatigue by 50%.
Pulumi Transformation: Developed a portfolio of reusable Pulumi modules covering VPCs, GKE/EKS clusters, Cloud Functions, and DNS—enabling teams to spin up full environments in under 10 minutes.
Downtime Reduction: Combined canary deployments with AI-driven rollback logic to achieve 30% fewer production outages.
Cost Savings: Leveraged AI analytics to recommend rightsizing actions and applied Pulumi drift detection—realizing 30% monthly cloud-spend reduction.More...