AHEAD
Senior Cloud FinOps engineer
$160K–$175K
United States · Remote · Senior · Full-time · Posted Aug 27, 2026
- Experience
- 5+ years combined cloud experience, including at least 3 years in cloud financial management, cost optimization, or FinOps; 3+ years customer-facing, stakeholder-facing, consulting, or service delivery experience.
- Education
- Bachelor’s degree in information technology, computer science, finance, business, or a related field, or an equivalent combination of education and practical experience.
- Visa sponsorship
- Must be legally authorized to work in the United States.
About the job
Leads cloud financial management and cost optimization for managed-services clients across AWS, Azure, and GCP, combining engineering, analysis, automation, and customer advisory work.
What you'll do
- Analyze cloud spending and lead cost optimization, allocation, forecasting, unit economics, and reporting.
- Advise clients and executives, present recommendations, and coordinate implementation and validation of savings.
- Automate FinOps reporting and governance, mentor engineers, and improve practice standards and delivery.
What they ask for
- Bachelor’s degree in a related field, or an equivalent combination of education and practical experience.
- 5+ years of combined cloud engineering, operations, infrastructure, or cost management experience, including at least 3 years focused on cloud financial management, cost optimization, or FinOps.
- 3+ years in a customer-facing, stakeholder-facing, consulting, or service delivery role presenting recommendations to technical and business audiences.
- Hands-on enterprise cloud experience; expertise in at least one major public cloud provider; SQL and scripting proficiency; experience with cost platforms and third-party integrations; legally authorized to work in the United States.
Nice to have
- Managed-services, consulting, or multi-cloud FinOps experience; relevant FinOps or cloud certifications.
- Experience with Kubernetes or AI/GPU cost management, forecasting and commitment planning, or platforms such as Harness CCM, Apptio Cloudability, CloudZero, Power BI, or Tableau.
Pay
USD 160,000–175,000 per year (OTE, including base salary and any applicable target bonus)
Tools
AWS, Azure, GCP, SQL, Python, PowerShell, Kubernetes, FOCUS
AI focus
Analyzes and optimizes AI and GPU-related cloud spending, including accelerated compute utilization, model training and inference costs, and managed AI and machine learning services. The employer may also use AI in hiring, with an opt-out option and no penalty stated.
Model-written summary · the original posting is authoritative