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Enterprise SaaS Platform — CI/CD & Infrastructure Automation

Infrastructure-as-Code and deployment automation for an enterprise SaaS platform

AnsibleBambooAzurePythonBashPowerShellElasticsearchHAProxyRedisRabbitMQActive DirectoryHyper-V

IT Operations Manager — May 2014 – Dec 2017

Overview

Member of the IT Operations team at an international SaaS provider for an enterprise Digital Asset Management (DAM) platform. Responsible for development and operation of the platform infrastructure and customer-specific implementations across multi-server environments.

My Role

IT Operations Manager — conceived and built the CI/CD pipeline from the ground up. Designed the Ansible role architecture, integrated cloud providers and Azure as deployment targets, managed CI/CD pipeline configuration, and led enterprise customer implementations on multi-server environments.

DEPLOYMENT PIPELINE SOURCE Git Repository CI SERVER Bamboo INFRASTRUCTURE AS CODE Ansible Roles Azure Cloud Hyper-V Cluster On-Premises COMPONENT ARCHITECTURE HAProxy Load Balancer APPLICATION DAM Platform Rendering Monitoring Elasticsearch Redis RabbitMQ Graphite / Grafana

CI/CD Pipeline & Infrastructure Automation

Infrastructure-as-Code platform for reproducible multi-environment deployments

Problem

The platform required complex multi-tier infrastructure — Elasticsearch clusters, Redis caches, RabbitMQ messaging, HAProxy load balancing, Windows application servers, and rendering services — all deployed across multiple environments. Deployments were manual, error-prone, and time-consuming. Environment parity was impossible to maintain by hand.

What Was Built

  • CI/CD integration — Orchestration scripts triggered by the CI/CD platform with environment-specific parameters
  • VM provisioning — Python API client managing VM lifecycle (create, clone, snapshot, start/stop) across cloud providers and Azure
  • Ansible automation — 30+ reusable roles for Elasticsearch, Redis, RabbitMQ, HAProxy, Keepalived, ELK, Nagios, and application services
  • Multi-service deployment — Automated installation of a microservice architecture with 11+ services
  • Snapshot-based testing — Hyper-V snapshot management for rapid environment resets in minutes instead of hours
  • Metrics-driven deployments — Deployment timing pushed to Graphite for Grafana dashboards to optimize the slowest stages
  • Automated testing — xUnit test runners with tenant provisioning, test data generation, and result aggregation

Environments

  • QA (x5) — Five parallel QA environments for concurrent testing
  • Development — Development environment
  • Test — Dual-instance load-balanced testing
  • Staging — Staging with multi-tenant customer configurations
  • Production — Cloud production environment

Enterprise Customer Implementations

Technical lead for platform deployments at enterprise customers

What Was Done

  • Multi-server deployments — Led installation and configuration of the SaaS platform at enterprise customers on complex multi-server environments
  • Environment architecture — Designed server topologies tailored to customer scale and requirements (application servers, search clusters, load balancers, storage)
  • Multi-tenant provisioning — Automated tenant creation with per-environment credentials managed via Ansible Vault
  • Security — Active Directory domain integration, Kerberos authentication, SSL certificate management, encrypted secrets