Cloud costs keep climbing
Find the architecture, usage patterns, or operating choices driving spend—and identify practical changes before promising a savings number.
Remote U.S. Enterprise Contract Availability
Control cloud costs. Move modernization forward.
When cloud spend keeps rising, systems become harder to change, or AI plans stall, Mentoritek helps enterprise teams find the constraint and move from a practical plan to hands-on delivery.
Ken Ramirez is a Principal Cloud, Data & AI Architect who brings architecture judgment and direct engineering across AWS, infrastructure automation, applications, data, and managed AI.
C2C through Mentoritek preferred 1099 considered Remote U.S.
The problems behind the project
Start with what is costing the business time, money, or confidence.
You do not need a finished specification. Bring the situation; we can work through what is happening and what needs to change.
Modernization keeps getting harder
Move legacy applications and infrastructure forward in steps that reduce risk while preserving the systems the business depends on.
Data is difficult to trust or use
Connect ingestion, storage, access, and analytics so teams can work from dependable information instead of manual reconciliation.
AI interest has not become useful delivery
Identify where managed AI can help, then address the data, security, integration, and workflow requirements around it.
A clear path to delivery
Find the real issue. Make a plan. Do the work.
Ken works directly with the people responsible for the system and its outcome—from architecture decisions through the implementation that matters most.
See how the work is approached- 01
Understand the constraint
Start with the business problem, what has already been tried, and the technical or operational factors behind it.
- 02
Define a workable path
Agree on the scope, architecture, dependencies, and evidence that will show whether the work is succeeding.
- 03
Build and verify
Stay hands-on through implementation, testing, deployment, and the knowledge transfer the engagement requires.
Selected enterprise work
Real constraints. Hands-on engineering.
Cloud environments were difficult to recreate consistently.
Built multi-region Terraform foundations from a prototype account and delivered application and deployment prototypes.
Read the case study
Building telemetry needed to become a usable connected-building product.
Architected and built application, API, event-processing, and AWS CDK components across the platform.
Read the case study
A large migration needed repeatable cloud environments and safer workload onboarding.
Built Python FinOps automation and used Terraform to deploy AWS Config and governance guardrails alongside multi-account AWS migration foundations.
Read the case studyTechnical depth, applied to the problem
Architecture is useful when it helps the work move.
From Terraform foundations and AWS CDK to Python automation, Java/Spring Boot services, TypeScript applications, data pipelines, and managed AI integration, the stack follows the need—not the other way around.
Explore capabilities- AWS Cloud Architecture
- Terraform and AWS CDK
- DevOps and Delivery Automation
- Application Modernization
- Data Platforms and Event Flows
- Python, Java, and TypeScript
- Security and Governance
- Managed AI Integration
Your next decision
What Is Your Program Working Around?
Bring the business problem or the contract requirement. We’ll talk through what is slowing things down, what needs to be different, and whether Ken’s experience fits.
C2C preferred through Mentoritek · 1099 considered · Remote U.S.