Python Application Developer – AWS Cloud Modernization

As part of ongoing cloud modernization, this project is setting up scripts and infrastructure to automate configuration deploys nodes, located both on premises and in the cloud. This project primarily focuses on Synthetic Monitoring, Real User Monitoring, and Internet / Application performance Monitoring. The goal is to have a seamless pipeline that

Takes in MyServices request tickets.

Updates corporate infrastructure when it is allowed.

Contacts the necessary teams to update infrastructure when it is not allowed.

Synchronize application ID password rotations with SAAS vendor and internal password vaults. Detect and deactivate monitors when an application ID becomes out of sync.

Generate monitoring scripts from arbitrary HTML, JSON, or XML based on the type of application / service being monitored.

Schedules script runs per application team specifications and application maintenance windows.

Sets up alert groups, levels, severity, and conditions.

Removes all previous set-ups when a monitor is off boarded.

Creating an automated on-boarding pipeline that gets requirement information from application teams and generates monitoring scripts in either vanilla JavaScript or using the JavaScript Playwright package.
Helped write a Selenium to Playwright conversion tool for automating conversion of 1000+ Selenium scripts.
Created GitLab / Jenkins pipeline for automated unit testing and code deployment to 30 different web servers with varying Linux operating systems, both in the cloud and on premise.
Automated proxy error detection and proxy updates for monitoring internal services.
Automating firewall error detection and Network Team MyServices ticket requests for monitoring internal services.
Automated creating REST API client and data models from swagger API specification documents for working with vendor APIs.