Cloud

This platform moved the company into hosted-in-cloud delivery at scale. The automation stack was built primarily with Ansible, supplemented by Python orchestration helpers, Jinja2 templating, reusable roles, and parent playbooks that controlled end-to-end execution flow.

• Reduced deployment cycle time from 2-3 weeks down to approximately 20 minutes.
• Standardized secure build patterns across customer deployments.
• Eliminated repetitive manual provisioning and handoff bottlenecks.
• Enabled controlled self-service for internal semi-technical operators.

I built and deeply integrated an internal AWX instance to run curated job templates that wrapped the role-based Ansible system. This gave internal teams a point-and-click path to deploy appliances with validated defaults, controlled variables, and repeatable outcomes.

• Built AWX infrastructure and template strategy for role/parent-playbook execution.
• Encoded guardrails in inventory, variables, and job-template permissions.
• Automated EC2 launch, baseline hardening checks, and service readiness validation.
• Used Python and Jinja2 to generate dynamic config payloads per customer context.

The deployment workflow handled AWS services and security alignment as first-class concerns, not post-deployment tasks.

• Configured Amazon SES in two regions for messaging redundancy.
• Created EC2 backup schedules for appliance recoverability.
• Applied mandatory instance tagging aligned to finance and customer tracking models.
• Created security groups with constrained ingress for management and service ports.
• Deployed into default VPC footprints with explicit segmentation and control points.