FinOps Specialist

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🕒 May 22

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Digibee

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

☁️ SaaS

🔌 API

🏢 Enterprise

💰 $60.5M Series B - Digibee on 2023-06

SaaS • API • Enterprise

Digibee is a cloud-native integration and automation platform that helps enterprises connect apps, legacy systems, data, and AI. It provides low-code/visual tools for building integrations, orchestrating workflows, deploying agents, and managing MCP/AI connectivity with built-in observability, security, and serverless scaling. Digibee is offered as a SaaS platform for IT teams, developers, and architects to accelerate digital transformation, modernize core systems, and automate high-volume, mission-critical processes.

📋 Description

• Monitor cloud spend closely, flag anomalies early, and investigate root causes with a hands-on, problem-solving approach • Create and enforce core FinOps practices (tagging, cost allocation, budgeting, forecasting) to improve accountability across teams • Build and maintain clear visibility over cloud spend (AWS/GCP), translating usage into simple, actionable reports for Finance and leadership • Identify cost-reduction opportunities (e.g., idle resources, overprovisioning, pricing models) and follow through on implementation with Engineering • Partner with technical teams to challenge decisions and introduce cost-awareness into day-to-day infrastructure choices

🎯 Requirements

• Bachelor's degree in Engineering, Computer Science (or related fields with a strong analytical focus), Economics, Finance, Accounting, or Business Administration • Advanced or fluent English language proficiency • Strong experience in Cloud Financial Management (FinOps), financial modeling for infrastructure, and variance analysis (Budget vs. Actual). Experience with IPaaS or SaaS business models is a significant plus • Proficiency in data visualization tools (Power BI, Tableau, or Looker), advanced Excel/Google Sheets, and cloud-native billing tools (AWS Cost Explorer, Azure Cost Management, or GCP Billing). Knowledge of SQL for data extraction is highly desirable • Familiarity with product and cloud engineering companies • Ability to work independently and manage multiple projects/roles simultaneously