Calendly05.03.26
AI SCORE 8.5

Staff Cloud FinOps Engineer - Remote Position

$239K–$363K/year

About the Role

Calendly is hiring a full-time Staff Cloud FinOps Engineer to join our dynamic team, working remotely from the USA. In this role, you will play a critical part in managing our cloud financial operations, ensuring that our financial strategies align with our business objectives. As a Staff Cloud FinOps Engineer, you will be at the forefront of optimizing our cloud spending and enhancing our financial performance.

What You'll Do

  • Develop and implement financial strategies for cloud operations, ensuring cost efficiency and budget adherence.
  • Collaborate with engineering and product teams to provide financial insights that drive decision-making.
  • Analyze cloud usage and spending patterns to identify opportunities for optimization.
  • Monitor and report on cloud financial metrics, providing actionable insights to stakeholders.
  • Lead cross-functional initiatives to improve financial processes and systems.

Requirements

  • 5+ years of experience in financial operations, preferably in a cloud environment.
  • Strong analytical skills with a focus on financial modeling and forecasting.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent communication skills to effectively collaborate with technical and non-technical teams.
  • Proven ability to manage multiple projects and meet deadlines in a fast-paced environment.

Nice to Have

  • Experience with financial software and tools for cloud cost management.
  • Knowledge of cloud architecture and services.
  • Certifications in finance or cloud technologies.

What We Offer

  • Competitive salary range of $238,968 - $362,669, commensurate with experience.
  • Fully remote work environment with flexible hours.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and growth.
  • Supportive team culture that values innovation and collaboration.
Why This Job8.5 of 10

This Staff Cloud FinOps Engineer role at Calendly offers a competitive salary and the opportunity to work remotely while optimizing cloud financial operations.

Salary Range
Required
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Optional
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Bonus
0/1

Who Will Succeed Here

Strong analytical mindset with expertise in financial analysis and budgeting, particularly in multi-cloud environments like AWS, Azure, and Google Cloud, enabling effective cost optimization strategies.

Proficient in cloud financial management tools and practices, with hands-on experience in using platforms such as CloudHealth or CloudCheckr to monitor and manage cloud spending efficiently in a remote work setting.

Demonstrated experience in aligning financial strategies with business objectives, showcasing a proactive approach to identifying and mitigating financial risks associated with cloud expenditures.

Learning Resources

Cloud Financial Management - AWSguide

Career Path

Staff Cloud FinOps Engineer(Now)Cloud FinOps Manager(1-2 years)Director of Cloud Financial Management(3-5 years)

Market Overview

Market Size 2024
$5.4B
Annual Growth
22.5%
AI Adoption in Cloud FinOps
37%
Investment in Cloud FinOps Solutions
+150%
Labour Demand for Cloud FinOps Professionals
+30%
Avg Salary for Cloud FinOps Engineer
$145K

Skills & Requirements

Required
Cloud Financial ManagementAWSAzure
Growing in Demand
Cloud Cost Optimization TechniquesFinOps Framework ImplementationData Analytics for Financial Insights
Declining
Traditional On-Premises Financial Management SystemsManual Budgeting Processes

Domain Trends

Rise of FinOps Culture
Organizations are increasingly adopting a FinOps culture, with 65% of companies reporting improved financial accountability and collaboration between finance and engineering teams.
Increased Automation in Financial Processes
Over 50% of enterprises are implementing automation tools in their financial management processes to enhance efficiency and reduce manual errors.
Integration of AI in Cloud Financial Management
By 2025, it is expected that AI-driven analytics will account for 45% of decision-making processes in cloud financial management, improving forecasting accuracy by up to 30%.

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