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At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate – and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software.” Wouldn't it be amazing if you could join us on our journey?
JFrog is seeking a data-driven and strategic Cloud FinOps Analyst to enhance our cloud cost visibility, drive cost efficiency, and influence strategic decision making across our engineering organization. In this role, you will play a key part in building and maintaining actionable insights into cloud usage and spend, collaborating with engineering, finance, and product teams to shape a data-informed FinOps practice that supports scale and sustainability.
As a Cloud FinOps Analyst at JFrog, you will...- Build and maintain cloud cost and usage visibility, providing summaries and detailed usage statistics for resources across the public clouds.
- Analyze cloud cost and business data, and propose solutions to problems using advanced analysis methods.
- Collaborate with the development and finance teams on cost optimization, budget, forecasting, and showback.
- Build a strong correlation between cloud cost and the business usage data represented in a unit economics model.
- Develop and track key metrics and performance indicators to evaluate and maintain cloud spend health.
- Create real-time alerts based on the data models to identify anomalies in the cloud spend.
- Effectively use cloud cost management tools.
- Support cloud tagging strategies and ensure accurate cost attribution across teams and products.
- Bachelor's degree in computer science or engineering, or equivalent experience in a quantitative field (Computer Science, Industrial Engineering, etc…) with 3+ years of work experience in data modeling and analysis
- Experience in financial analysis and cloud cost management
- Proficient hands-on experience with Python, Databases, and SQL
- Experience with data modeling and analytical tools
- Experience with data visualization tools (Tableau, Qlik, PowerBI, etc.)
- Experience working with business units and presenting the results to stakeholders
- Proven ability to work independently; delivery-oriented
