# Job Description: FinOps Engineer

## About the Role
We are seeking a skilled FinOps Engineer to join a financial services company during a pivotal phase of their evolution in Data, Cloud, and Artificial Intelligence initiatives. This role is crucial in overseeing the financial governance of technical environments, focusing on operational efficiency, cost optimization, and sustainability across Data, Analytics, and AI platforms. The FinOps Engineer will collaborate with cross-functional teams, including Architecture, Engineering, Data, and Platform, to drive cost-effective technical decisions and enhance the financial oversight of cloud resources.

The primary objectives include monitoring and analyzing infrastructure costs across various cloud platforms, identifying opportunities for computational resource optimization, and implementing FinOps practices. By developing financial efficiency dashboards and key performance indicators, the FinOps Engineer will play a vital role in informing strategic business decisions and promoting cost-effective solutions.

## Key Responsibilities
– Monitor and analyze cloud infrastructure costs (AWS, Azure, GCP).
– Identify optimization opportunities for computational resources, storage, and AI workloads.
– Implement and manage FinOps practices, including rightsizing, autoscaling, tagging, chargeback, and showback.
– Develop indicators and dashboards for consumption, budgeting, and financial efficiency in technology and business areas.
– Define and track metrics such as cost per application, service, transaction, user, or inference.
– Collaborate with Architecture, Engineering, Data, and Platform teams to support cost-efficient technical decisions.
– Contribute to the financial governance of Data, Analytics, Machine Learning, and AI environments.
– Conduct analyses and make recommendations regarding architecture and resource utilization for waste reduction and operational efficiency.

## Required Skills
– Experience with FinOps, Cloud Cost Management, or cost optimization in cloud environments.
– Knowledge of AWS, Azure, and/or Google Cloud Platform.
– Experience in financial governance of infrastructure, budget control, and consumption tracking.
– Proficiency in chargeback, showback, tagging strategy, and cost allocation.
– Understanding of cloud architecture and high availability distributed environments.
– Experience collaborating with technical teams and business departments.
– Strong analytical skills and ability to translate consumption data into actionable recommendations.

## Preferred Skills
– Experience with Data, Big Data, Analytics, or Lakehouse environments.
– Familiarity with technologies like BigQuery, Databricks, Snowflake, or Spark.
– Experience with Kubernetes, observability, and workload optimization.
– Background in Machine Learning, MLOps, LLMOps, or Generative AI.
– Knowledge of inference costs, token consumption, and models such as OpenAI, Claude, Gemini, Bedrock, or Vertex AI.
– Cloud certifications (AWS, Azure, GCP) and/or FinOps certifications.

## Benefits
– Hybrid work model (3 days in-office in Alphaville).

## Useful Links
– [Company Website](https://example.com)
– [Careers Page](https://example.com/careers)
– [LinkedIn](https://linkedin.com/company/example)

## Why You Might Be Interested
This position offers an exciting opportunity to have a direct impact on financial governance in cutting-edge technology environments. You will be at the forefront of cloud cost management and optimization initiatives while working alongside a skilled team dedicated to innovation and efficiency in the financial services sector.