## About the Role

The FinOps Engineer will play a key role in improving the efficiency of cloud resource usage and supporting the financial performance of products and services. This position is focused on bridging Engineering, Finance, and Product so cloud spending can be aligned with business value and future service cost modelling.

The role is responsible for shaping cloud economic strategy across AWS and Azure, with additional oversight of token management for AI tools and products. It goes beyond reporting spend by helping build a culture where cost is treated as a measurable operational metric, supported by automated governance and commitment-based optimisation.

You will work with multi-disciplinary, multi-cultural teams and partner closely with Finance, DevOps, and product stakeholders. The role also supports leadership with investment input based on FinOps insights and budget planning cycles.

## Key Responsibilities

– Build and maintain cloud spend dashboards using AWS Cost Explorer and Azure Cost Management.
– Support Product teams with cost modelling and spend visibility.
– Establish and manage token usage practices for AI tools as part of the FinOps function.
– Define and enforce tagging and labelling standards to improve cost attribution across products, teams, and environments.
– Manage commitment-based savings, including AWS Savings Plans and Azure Reserved Instances.
– Perform coverage analysis, sizing recommendations, renewal planning, and governance for savings commitments.
– Identify and automate removal of unused or orphaned cloud resources.
– Partner with Finance to produce weekly and monthly cloud forecasts.
– Explain budget variances in the context of technical roadmaps.
– Set up recurring review, reporting, and action-tracking routines to drive accountability.
– Configure alerts for cost anomalies and investigate sudden spend spikes with DevOps teams.
– Provide advisory input to IT leadership on product investments and budget cycles.

## Required Skills

– Hands-on experience with cloud billing constructs, including AWS CUR and Azure Billing APIs.
– Experience using SQL, Python, and Power BI or Tableau for data analysis.
– Strong understanding of AWS pricing models and discount mechanisms, including EC2, S3, and RDS.
– Strong understanding of Azure pricing models and discount mechanisms, including VMs, SQL DB, and Storage.
– Ability to learn AI token management quickly.
– Ability to translate technical architecture into financial business impact for executive leadership.
– Strong financial modelling and business case skills.

## Required Qualifications

– FinOps Certified Practitioner (FOCP) or FinOps Certified Engineer.
– AWS Certified Cloud Practitioner.
– Microsoft Azure Fundamentals (AZ-900).

## Cloud Platforms & Technologies

### Cloud Providers
– AWS
– Azure

### FinOps Platforms / Billing
– AWS Cost Explorer
– Azure Cost Management
– AWS CUR
– Azure Billing APIs

### Programming Languages / Analytics
– SQL
– Python

### Reporting / BI
– Power BI
– Tableau

### AWS Services
– EC2
– S3
– RDS
– EBS volumes
– Snapshots

### Azure Services
– VMs
– SQL DB
– Storage

## FinOps Responsibilities

– Improve cloud spend transparency across AWS and Azure.
– Support cloud cost modelling for Product teams.
– Build and manage AI token cost controls, allocation, and optimisation.
– Create and enforce tagging standards to enable full cost attribution.
– Manage Savings Plans and Reserved Instances, including coverage, sizing, renewal, and approvals.
– Identify waste and automate cleanup of unused cloud resources.
– Produce cloud forecasts and explain budget variances with Finance.
– Set up spend anomaly detection and coordinate remediation with DevOps.
– Advise leadership on investment and budget decisions using FinOps insights.

## Useful Links

– LinkedIn / Application: https://www.linkedin.com/jobs/view/4478776818

## Why You Might Be Interested

This role offers the opportunity to shape FinOps practices across AWS and Azure in a business where cloud cost management has direct impact on product and service outcomes. It combines hands-on analysis, financial forecasting, governance, and stakeholder partnership across Engineering, Finance, Product, and DevOps. The position also includes responsibility for AI token management, adding a newer dimension to cloud economics work. For someone who wants to influence strategy while driving practical cost optimisation, this is a broad and impactful FinOps role.