Senior FinOps Analyst ID94366

AgileEngine•Port Charlotte, FL

About The Position

AgileEngine is seeking a Senior FinOps Analyst to advise R&D teams on cloud cost management and optimization. The role supports APAC business hours, which may mean evening or night shifts in LATAM or the US, with some overlap with Pacific Time and afternoon Central Time. The analyst will provide real-time and asynchronous support, consult with spending teams, investigate cloud and AI/LLM spend, support forecasting and reporting, and help teams identify cost-saving opportunities.

Requirements

Authorization to work for any US employer; the company is unable to sponsor or take over employment visa sponsorship.
At least 4 years of senior-level FinOps experience.
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, and ability to learn new tools quickly; Datadog is given as an example, but no single 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 point of contact for R&D teams seeking cloud cost guidance, responding to questions through Slack and other asynchronous channels.
Engage proactively with spending teams, particularly APAC-based colleagues, to review monthly cloud spend, identify cost opportunities, and understand upcoming engineering plans.
Capture meeting notes and recommendations, including recurring questions and emerging cost patterns.
Monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiencies; investigate variances, write root-cause analyses, and provide optimization recommendations.
Document investigations in Jira and flag relevant items for monthly reporting.
Participate in monthly forecasting by aligning central forecasts with team projections, surfacing discrepancies, and documenting upcoming spending plans.
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.