FinOps Engineer II

RealPage, Inc.

Pasig

On-site

PHP 1,200,000 - 1,600,000

Full time

14 days+

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Job summary

RealPage, Inc. is seeking a Hybrid Infrastructure FinOps Engineer II to track and optimize AI cloud infrastructure costs while ensuring high performance and efficiency. Responsibilities include automating reports to visualize cloud cost trends, developing cost allocation models, and collaborating with cross-functional teams to align cloud spending with business objectives.

The ideal candidate will have a Master’s degree in computer science or engineering and over 2 years’ experience in cloud operations and financial management. Proficiency in cloud platforms like Google Cloud Platform and AWS is essential.

Qualifications

  • 2+ years’ experience in automation and development with Infrastructure-as-Code tools.
  • 2+ years of experience programming with languages such as Python, Ruby, Go.
  • Experience in cloud operations, financial management, or related roles.

Responsibilities

  • Automate creation of reports and dashboards for cloud cost trends.
  • Develop and maintain cost allocation models.
  • Analyze cloud usage patterns for cost optimization.

Skills

Cloud cost optimization strategies
Python programming
Terraform
AWS
Google Cloud Platform
Automation with Infrastructure-as-Code
Analytical skills
Collaboration

Education

Master’s degree in computer science and engineering

Tools

Git
Azure DevOps
Cloud cost management tools

Job description

Overview

Hybrid Infrastructure FinOps Engineer II will be responsible for tracking and optimizing AI cloud infrastructure costs while ensuring maximum performance and efficiency. The FinOps engineer will work closely with finance, operations and CloudOps teams to analyze AI and non‑AI cloud usage patterns, identify cost‑saving opportunities and implement strategies to manage and optimize cloud expenditure.

Responsibilities
  • Automate the creation of reports and dashboards to visualize cloud cost trends for AI production and non‑production usage.
  • Develop and maintain cost allocation models.
  • Stay up‑to‑date on cloud pricing models and best practices.
  • Analyze cloud usage patterns for cost optimization.
  • Proficiency in cloud platforms, including Google Cloud Platform and AWS; some exposure to Azure is required.
  • Build tooling and automation to share cloud spending data across the organization for all AI and non‑AI usage.
  • Collaborate with cross‑functional teams to align cloud spending with business objectives.
  • Develop and maintain cost optimization policies and procedures.
  • Monitor and report on cloud expenditure.
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 programming with Python, Ruby, Go, Git, GitHub, or Azure DevOps.
  • 2+ years of experience in estimation, project management and FinOps for 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.
Required Knowledge / Skills / Abilities
  • 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.
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