Senior FinOps Analyst ID94366

AgileEngine•Tallahassee, FL

About The Position

AgileEngine is hiring a Senior FinOps Analyst to advise R&D teams on cloud cost management and optimization. The role supports APAC business hours, requiring evening or night shifts in LATAM/US, with some overlap with Pacific Time and afternoon Central Time. The analyst serves as an advisory and support resource for R&D teams, helping manage cloud and AI/LLM spend, forecasts, cost models, investigations, reporting, and cost-awareness efforts.

Requirements

At least 4 years of senior-level FinOps or cloud financial operations experience.
Authorization to work for any employer in the United States; the company cannot sponsor or take over employment visa sponsorship.
Proficiency in complex SQL or SQL-adjacent queries for analyzing cost and usage data and investigating variable-cost anomalies.
Strong expertise in cloud cost management and optimization.
Ability to investigate spending anomalies and produce written root-cause analyses.
Experience advising and consulting directly with R&D or engineering teams as a partner-facing resource.
Cloud cost forecasting experience, including aligning central forecasts with team-level projections.
Familiarity with OpenAI/LLM cost drivers and monitoring LLM spend.
Experience with cost modeling and team investment or project tracking.
Experience maintaining technical documentation and wiki spaces and contributing to recurring reporting such as showback.
Proficiency with Jira for documenting investigations and Slack for real-time and asynchronous support.
Proficiency with FinOps and cloud cost tools, with the ability to learn new tools quickly; no specific tool is mandatory.
Upper-intermediate English proficiency.

Nice To Haves

AI/LLM governance expertise.
AI/LLM variable cost management expertise.

Responsibilities

Serve as the primary contact for R&D teams seeking cloud cost guidance, responding to questions in real time through Slack and other asynchronous channels.
Engage proactively with spending teams, particularly APAC-based colleagues, to review monthly cloud spending, identify cost opportunities, and understand engineering roadmaps and expected spend.
Capture engagement notes and summaries, including recommendations, recurring questions, and emerging cost patterns.
Monitor cloud and AI/LLM spending for anomalies, cost spikes, and inefficiencies; investigate variances, write root-cause analyses, and provide actionable optimization recommendations.
Document investigations and recommendations in Jira and flag relevant items for monthly reporting.
Participate in monthly forecasting by aligning central forecasts with team projections, identifying discrepancies, documenting expected spending plans, and preparing engagement notes for assigned teams.
Contribute FinOps insights and team-sourced information, including AI/LLM cost drivers, to showback reporting and meetings with high-spending R&D teams.
Support cost-awareness and cost-education efforts and audit and update the cloud economics wiki space.
Model team cost projections and respond to customer help requests through Slack, email, and other channels.