FBS FinOps Cloud Engineer

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:

• A solid and innovative company with a strong market presence

• A dynamic, diverse, and multicultural work environment

• Leaders with deep market knowledge and strategic vision

• Continuous learning and development

Job Summary

The FinOps Automation and AI Engineer will be a key technical resource responsible for integrating automation and artificial intelligence into the FinOps practice. Will develop and deploy intelligent solutions to manage and optimize cloud spending across multi-cloud environments with a special focus on AI and ML workloads.

This role requires deep expertise in cloud platforms, FinOps principles, programming, and a strong understanding of how AI can drive proactive and autonomous cost efficiency.

Some of the Key Responsibilities

• Develop automated optimization strategies: Design and build automation scripts and workflows to implement cost-saving strategies such as automated rightsizing, resource scheduling, and managing commitment-based discounts like Savings Plans and Reserved Instances.
• Integrate AI for advanced insights: Utilize machine learning models (PLUS) and LLMs to move beyond reactive reporting. Develop predictive cost forecasting, perform intelligent anomaly detection, and generate contextual, automated explanations for spending fluctuations.
• Standardize and govern AI spending: Integrate and standardize AI-related cloud spending into core cost governance frameworks. Create guidelines and best practices for cost-effective AI service consumption.
• Enhance reporting and allocation: Develop and maintain automated data pipelines to ingest, normalize, and process cloud cost and usage data from various providers. Design and deliver comprehensive reports and dashboards that accurately attribute costs to business units, teams, and products.
• Build AI-powered tooling: Create and maintain self-service tools and APIs that empower engineering teams with better visibility and control over their cloud budgets and forecasts.