## About the Role

Deacero is building a real-time pricing engine and an AI agent layer on GCP. This role will establish the FinOps practice from the ground up and take ownership of cloud economics across infrastructure and AI workloads.

The goal is to improve cost visibility, optimization, and governance so engineering teams can make cost-aware decisions early in the design process. You will work with technical teams to embed FinOps into architecture, delivery, and operations.

## Key Responsibilities

– Build the FinOps practice, including cost visibility, showback/chargeback, labeling, and unit economics.
– Improve GCP spend efficiency through rightsizing, autoscaling, Committed Use Discounts, reservations, Spot/preemptible usage, and BigQuery cost control.
– Set up cost governance with budgets, anomaly alerts, cost policies, and cost-as-code practices in Terraform and CI/CD.
– Reduce AI workload costs by monitoring and optimizing token usage across LLMs, including caching, model routing, and AI spend observability.
– Produce executive reporting on efficiency, savings, and cloud spend forecasts.
– Partner with teams to embed FinOps into architecture from the design stage.

## Required Skills

– 3+ years of experience in FinOps, Cloud Cost Management, or Cloud Engineering with a strong cost focus.
– Hands-on experience with GCP.
– Strong knowledge of Cloud Billing, budgets, CUDs/reservations, rightsizing, and BigQuery cost management.
– SQL skills for working with billing exports in BigQuery.
– Experience building dashboards in Looker, Looker Studio, Grafana, or similar tools.
– Understanding of cloud architectures, including compute, storage, data, and serverless environments.
– Advanced Spanish and technical English.

## Preferred Skills

– FinOps Certified Practitioner or GCP certification such as Professional Cloud Architect or DevOps Engineer.
– Experience with AI/LLM cost management, including token economics, AI Gateway, Vertex AI pricing, and inference caching.
– Terraform / Infrastructure as Code experience, including policy and cost-as-code practices.
– Experience with Infracost.
– Python or scripting experience for report automation and remediation.
– Multi-cloud cost management experience with AWS or Azure, or experience in high-scale environments.

## Cloud Platforms & Technologies

### Cloud Providers
– GCP
– AWS
– Azure

### FinOps / Cost Management
– Cloud Billing
– BigQuery billing export
– Cloud budgets
– Cost alerts for anomalies
– Committed Use Discounts (CUDs)
– Reservations
– Spot / preemptible instances
– Showback / chargeback
– Labeling
– Unit economics
– Infracost

### Data & Analytics
– BigQuery

### Reporting & BI
– Looker
– Looker Studio
– Grafana

### Infrastructure as Code
– Terraform

### CI/CD
– CI/CD

### Programming Languages
– SQL
– Python

### AI / ML Platforms
– Vertex AI
– AI Gateway
– Claude
– Gemini
– MCP

### Application / Runtime
– Cloud Run

## FinOps Responsibilities

– Establish cloud cost visibility and reporting through Cloud Billing and BigQuery exports.
– Implement showback/chargeback, tagging, and unit economics.
– Optimize GCP costs across compute, storage, data, and serverless workloads.
– Manage budgets, cost policies, and anomaly detection.
– Apply cost controls through Terraform and CI/CD.
– Track and reduce AI spend across LLM usage and inference patterns.
– Forecast cloud spend and report on efficiency and savings.

## Benefits

– 100% remote work from Colombia, with Medellín as the preferred hub.
– Real autonomy in the role.
– Greenfield environment with no inherited technical debt.
– Competitive compensation.

## Why You Might Be Interested

This is a greenfield opportunity to build a FinOps function from scratch and directly influence cloud and AI spending. The role combines GCP cost management, governance, and executive reporting in a modern cloud environment. It also offers full remote work from Colombia and the chance to work with a stack that includes GCP, BigQuery, Cloud Run, and Vertex AI.