FinOps Engineer II

RealPage, Inc.; Pasig; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

RealPage, Inc. is seeking a Hybrid Infrastructure FinOps Engineer II to track and optimize AI cloud costs while balancing performance and efficiency.

You will automate reports, develop cost models, and stay current with cloud pricing across GCP, AWS, and Azure, collaborating with finance, operations, and CloudOps to align spending with business goals and drive cost savings.

Qualifications

• Master’s degree in computer science and engineering is preferred.
• 2+ years’ experience in automation and development with Infrastructure-as-Code tools such as Terraform, CloudFormation across different cloud platforms, or similar experience
• 2+ years of experience of programming with tools such as Python, Ruby, Go, Git, Github, or Azure DevOps
• 2+ years of experience in estimation, project management, andfinopsfor cloud environments.
• 2+ years of experience in cloud operations,financial management, or related roles.
• Experience with cloud cost optimization frameworks such as FinOps.
• FinOps Certified Practitioner / CAPM / other PM certifications.

Responsibilities

• Automate the creation of reports and dashboards to visualize cloud cost trends for AI production and non-production usage
• Develop andmaintaincost allocation models.
• Stayup-to-dateon cloud pricing models and best practices.
• Analyze cloud usage patterns for cost optimization.
• Proficiencyin cloud platforms, Google Cloud Platform, and AWS. Some exposure to Azure isrequiredas well
• Building out tooling and automation to share cloud spending data across the organization for all AI and non-AI usage
• Collaborating with cross-functional teams to align cloud spending with businessobjectives.
• Developing andmaintainingcost optimization policies and procedures.
• Monitor and report on cloud expenditure.

Skills

Automation

Python/Go/Ruby

Git/AzureDevOps

FinOps

Analytics

Collaboration

Education

Master's in CS/Engineering

Tools

Terraform

CloudFormation

Go

Python

GitHub

Azure DevOps

Job description

Overview

Hybrid Infrastructure FinOps Engineer II willbe responsible fortracking andoptimizingAI cloud infrastructure costs while ensuring maximum performance and efficiency. FinOps engineer will work closely with our finance, operations, andCloudOpsteams to analyze AI and non-AI cloud usage patterns,identifycost-saving opportunities, and implement strategies to manage andoptimizecloud expenditure.

Responsibilities

• Automate the creation of reports and dashboards to visualize cloud cost trends for AI production and non-production usage

• Develop andmaintaincost allocation models.

• Stayup-to-dateon cloud pricing models and best practices.

• Analyze cloud usage patterns for cost optimization.

• Proficiencyin cloud platforms, Google Cloud Platform, and AWS. Some exposure to Azure isrequiredas well

• Building out tooling and automation to share cloud spending data across the organization for all AI and non-AI usage

• Collaborating with cross-functional teams to align cloud spending with businessobjectives.

• Developing andmaintainingcost optimization policies and procedures.

• Monitor and report on cloud expenditure.

Qualifications

• Master’sdegree in computer science and engineering is preferred.

• 2+ years’ experience in automation and development with Infrastructure-as-Code tools such as Terraform, CloudFormation across different cloud platforms, or similar experience

• 2+ years of experience of programming with tools such as Python, Ruby, Go, Git,Github, or Azure DevOps

• 2+ years of experience in estimation, project management, andfinopsfor cloud environments.

• 2+ years of experience in cloud operations,financial management, or related roles.

• Experience with cloud cost optimization frameworks such as FinOps.

• FinOps Certified Practitioner / CAPM / other PM certifications.

KNOWLEDGE/SKILLS/ABILITIES

Required:

• Collate, analyze and prioritize cloud optimization recommendations and calculate potential savings.

• Experience in cloud cost optimization strategies.

• Experience with cloud cost management tools.

• Experience programming languages such as Python, Go, Ruby, etc.

• Experience with financial concepts and budgeting.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Automate cost optimization processes.