Cloud Cost & Infrastructure
Senior Cloud Engineer · 4most
September 2024 – July 2025
Overview
Led comprehensive cloud infrastructure transformation initiatives at 4most, focusing on cost optimization, infrastructure modernization, and strategic cloud adoption. This role involved migrating legacy systems, implementing Infrastructure as Code (IaC), and establishing best practices for cloud governance and cost management.
The work centered on Azure cloud platforms, Databricks implementations, and establishing scalable, secure infrastructure patterns that support both current operations and future growth.
Key Achievements
75% Legacy Cost Reduction
Successfully cut legacy system costs by 75% through strategic migration of Azure VMs to Databricks. This migration not only reduced operational expenses but also streamlined machine learning model deployment and accelerated AI adoption across the organization.
- Comprehensive cost analysis and migration planning
- Zero-downtime migration strategy execution
- Ongoing cost monitoring and optimization
Sandbox Environment Management
Managed setup and cost tracking for a sandbox Databricks environment used for running training sessions and developing Proof of Concepts (POCs) across the business. This environment enabled rapid experimentation while maintaining cost controls.
- Automated cost tracking and alerting systems
- Self-service provisioning for training and POCs
- Resource lifecycle management and cleanup automation
Greenfield Azure Databricks Infrastructure
Supported the setup and management of greenfield Azure Databricks infrastructure, contributing to the implementation of the Azure Cloud Adoption Framework (CAF) with Infrastructure as Code (Bicep) and hub-and-spoke architecture patterns.
- IaC implementation using Bicep for repeatable deployments
- Hub-and-spoke network architecture for secure connectivity
- Compliance with Azure CAF best practices
Client Migrations & GenAI Adoption
Delivered Databricks database migrations and GenAI adoption (Genie/LLM solutions) for key clients, driving AI readiness and business data transformation. These migrations enabled clients to leverage modern AI capabilities while maintaining data governance and security.
- Large-scale database migrations with minimal downtime
- GenAI solution implementation and integration
- Client training and enablement programs
Strategic Cloud Governance
Contributed to Cloud Adoption Framework (CAF), Well-Architected Framework (WAF), and Cloud Center of Excellence (CCoE) strategy discussions with client leadership teams, helping design scalable, secure cloud infrastructure aligned with business objectives.
- Architecture reviews and recommendations
- Security and compliance framework implementation
- Cost optimization strategies and governance policies
Technologies & Tools
Impact & Results
Legacy cost reduction
Training sessions enabled
Downtime migrations