Lead AWS FinOps Analyst

Location: Hybrid role for candidates living within a 180-mile radius of a U.S. hub: Bloomington, Illinois; Richardson, Texas; Dunwoody, Georgia; or Tempe, Arizona. Applicants must be eligible to work lawfully in the United States immediately; U.S. work authorization sponsorship is not available.

Salary: $107,000–$142,000 per year, plus potential yearly incentive pay of up to 15% of base salary.

Company

hirify.global is an insurance and financial services organization focused on helping customers and investing in local communities.

What you will do

• Lead cloud spend analytics across a large-scale AWS environment, covering cost drivers, trends, forecasts, and anomalies.
• Develop AI-powered FinOps capabilities, including anomaly detection, optimization recommendations, natural-language insights, automated executive reporting, and decision support.
• Establish cost models for AI usage at token, model, and agent levels to improve enterprise cost transparency.
• Optimize Reserved Instance coverage, Savings Plans, commitment utilization, AWS pricing, and overall cloud consumption.
• Identify idle, orphaned, overprovisioned, and misconfigured infrastructure and quantify optimization opportunities.
• Build dashboards, forecasting models, KPIs, and self-service reporting while partnering with engineering, architecture, finance, data, and governance stakeholders.

Requirements

• Strong experience with AWS in large-scale enterprise environments and AWS cost management services, including Cost Explorer, Cost and Usage Reports, and Cost Optimization Hub.
• Strong understanding of FinOps principles and cloud financial management.
• Advanced SQL skills for analyzing large cloud billing datasets.
• Experience building executive dashboards and analytics with Amazon QuickSight.
• Experience with APIs, Python, SQL, infrastructure tooling, or workflow orchestration platforms.
• Strong analytical, communication, conceptual thinking, and problem-solving skills, with the ability to explain technical cloud concepts to engineering and business stakeholders.

Nice to have

• FinOps or AWS certifications.
• Experience with LLM and token-based pricing models, including OpenAI, Claude, or Bedrock APIs.
• Experience developing AI-enabled analytics, automation, policy-based controls, anomaly detection, or automated enforcement.
• Familiarity with Amazon Bedrock, generative AI, prompt engineering, AI governance, forecasting, statistical modeling, or Cloudability.

Culture & Benefits

• Collaborative environment supporting experimentation, continuous learning, and innovation.
• Health, dental, vision, telemedicine, mental health, and wellbeing programs.
• Training, tuition assistance, mentoring, and employee resource groups.
• Paid time off, parental leave, paid holidays, life leave, bereavement leave, and community service or education support days.
• Annual raise and bonus eligibility, financial coaching, and a 401(k) plan with company contributions of up to 7% of salary.