Jorge Quipildor

Senior Devops and Software System Engineer with +7 years of experience driving efficiency across development, deployment and data life cycle. Proven track record in IT Project Coordinator, successfully managing developers teams, optimizing process, and building data lifecycles from scratch. Currently leading a team of Python developers to architect and implement robust, data-driven systems. Passionate about exploring cutting-edge technologies and continuous growth.

Sr Engineer Devops at AutoScraping (2023-01 – Present)

• Cloud & Email Migration: Successfully led the migration of email services from GoDaddy to Microsoft 365. Managed multi-server task tracking and monitoring, transitioning from manual reporting to automated insights.

Tech Stack: Bash, Docker, Kubernetes, MySQL, PostgreSQL, MSSQL, Microsoft 365, Azure.

• Infrastructure & Domain Management: Managed client accounts to configure email and DNS records (GoDaddy/Cloudflare). Deployed websites using reverse proxies with SSL encryption and migrated databases from VPS to AWS Cloud.

Tech Stack: GitHub, GitHub Actions, Nginx, Docker, AWS ECS, AWS RDS, MySQL, Laravel.

• Infrastructure as Code (IaC): Designed complex AWS architectures and implemented Infrastructure as Code using Terraform to automate deployments and streamline environment provisioning.

Tech Stack: Lambda, API Gateway, ECS Fargate, AWS VPC, CloudMap, Security Groups, Terraform, GitHub.

• Automation & Orchestration: Scheduled and orchestrated web crawlers to optimize resource utilization and prevent software overlap, ensuring high availability.

Tech Stack: Ansible, YAML, Bash, Crontab, Proxy.

• Cloud Migration & Modernization: Executed the migration of AWS EC2 instances to Azure VMs to reduce infrastructure costs. Modernized legacy systems by migrating LXC containers from Proxmox Baremetal to Docker-based environments. Additionally, utilized Rclone for secure data migration from Google Drive to SharePoint.

Tech Stack: Bash, Rclone, Docker, LXC, Iptables, Azure VM, AWS EC2.

• Testing Infrastructure: Scaled a Selenium Grid cluster on baremetal cloud, configuring endpoints to enable seamless integration with internal software and services.

Tech Stack: Ansible, Docker, Selenium, YAML, Python.

• Web Security & Deployment: Standardized the delivery of secure websites by implementing Nginx reverse proxies and Certbot for automated SSL certificate management.
• Data Analytics Integration: Deployed Metabase backed by PostgreSQL, providing the data analysis team with a centralized platform for dashboards and business intelligence insights.
• AI Innovation: Developed a discord bot in python async using Ollama stuff to detect webpages anti-bot, in line with this Deployed a team project that uses FastAPI

Engineer Software System at ICIA (2018-03 – 2020-10)

Geospatial Web Application for Municipal Management

• Project & Impact: Developed a full-stack web application using Web2py to visualize citywide complaint geographic data, leveraging the Google Maps Geolocation API to identify spatial patterns. This resulted in a 60% improvement in communication efficiency and a 50% increase in report processing.
• Requirements & Agile: Boosted well-documented requirements by 50% by implementing the IEEE 830 standard and developing Scrum-guided prototypes to facilitate advanced statistical analysis.
• Database & Geospatial Design: Designed a PostgreSQL database optimized for capturing, structuring, and retrieving complex geospatial data.
• Architecture & Scalability: Transitioned the backend to a microservices architecture, improving system availability and resilience under stress testing by 50%.
• Deployment: Deployed the system across Google Cloud Platform (GCP) and local environments using Kubernetes to ensure high availability and infrastructure flexibility.

Tech Stack: Python (Web2py), JavaScript, HTML/CSS, Google Maps API, OpenStreetMap, PostgreSQL, QGIS, Docker, Kubernetes, Bash, Nginx, Scrum, IEEE 830.

Engineering Software System in Software System – UTN-FRT (2020-12)