Senior FinOps Analyst ID94366

AgileEngine

Municipio de Rincón de los Sauces

Hybrid

ARS 184,482,000 - 276,723,000

Full time

42 hours ago
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Benefits offered by this job

Professional growth
USD-based pay with budgets for edu, w,
Flextime

Job summary

AgileEngine, LLC. is seeking a Senior FinOps Analyst to guide engineering teams on cloud costs, optimization, and spend governance. The role requires overlap with APAC business hours and PST/CST windows, with a flexible mix of remote and office work.

You will partner with R&D teams, forecast monthly spend, investigate anomalies, and provide root-cause analyses with actionable recommendations. You will document findings in Jira, maintain wiki spaces, and contribute to Showback and cost

Qualifications

  • 4+ years of FinOps experience.
  • Strong cloud cost management and optimization expertise.
  • Proven ability to investigate spend anomalies and produce root-cause analyses.
  • Experience advising R&D/engineering teams.
  • Cloud cost forecasting experience with team projections.
  • Familiarity with OpenAI/LLM cost drivers and monitoring LLM spend.
  • Cost modeling and team investment tracking.
  • Proficiency with Jira for documenting investigations and Slack for real-time support.
  • Experience maintaining technical documentation/wiki spaces and recurring reporting (Showback).
  • Strong written and verbal communication for stakeholder engagement.

Responsibilities

  • Serve as the primary contact for R&D teams seeking cloud cost guidance via Slack and other channels.
  • Engage APAC-based teams to review monthly cloud spending and surface cost opportunities.
  • Monitor cloud/AI/LLM spend for anomalies and conduct structured investigations with root-cause analyses.
  • Produce actionable optimization recommendations and document work in Jira.
  • Contribute to monthly forecasting with team cohorts and document spend plans.
  • Support Showback reporting and discuss cost drivers in top spending meetings.
  • Assist Cost Awareness and Cost Education efforts and update wiki space.
  • Model team cost projections and respond to requests via Slack and email.

Skills

FinOps
Cloud cost mgmt
Root-cause analysis
Stakeholder engagement
Forecasting
LLM cost drivers
Cost modeling
Jira
Slack
Documentation/wiki
Communication (written)
APAC hours coverage

Tools

Jira
Slack
Wiki/Confluence

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior FinOps Analyst to advise engineering teams on cloud costs and optimization. This role requires a schedule that covers APAC business hours (evening/night shift in LATAM/US), including a necessary overlap with PST and afternoon CST.

MUST HAVES
  • 4+ years of experience in FinOps.
  • Strong cloud cost management and optimization expertise.
  • Proven ability to investigate spend anomalies and produce written root-cause analyses.
  • Experience serving as a partner-facing resource, advising and consulting directly with R&D/engineering teams.
  • Cloud cost forecasting experience, including aligning central forecasts with team-level projections.
  • Familiarity with OpenAI/LLM cost drivers and monitoring LLM spend.
  • Cost modeling and team investment/project tracking.
  • Proficiency with Jira for documenting investigations and Slack for real-time, asynchronous support.
  • Experience in maintaining technical documentation/wiki spaces and contributing to recurring reporting, such as Showback.
  • Strong written and verbal communication for stakeholder engagement and reporting.
  • Availability to cover APAC business hours with necessary PST and afternoon CST overlap.
  • Upper-intermediate English level.
NICE TO HAVES
  • AI/LLM governance expertise.
  • AI/LLM variable cost management expertise.
WHAT YOU WILL DO
  • Serve as the primary point of contact for R&D teams seeking cloud cost guidance, triaging and answering inbound questions in real time via the team's Slack channel and other asynchronous channels.
  • Conduct proactive, consultative engagement with key spending teams, especially APAC-based colleagues — to review monthly cloud spending, surface actionable cost opportunities, and understand upcoming engineering roadmap delivery plans before they become budget surprises; capture meeting notes and summaries with recommendations on top recurring questions and emerging cost patterns.
  • Proactively monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiency patterns; conduct structured investigations into flagged variances, produce written root-cause analyses, and deliver actionable optimization recommendations to team owners, documenting the work on Jira tickets and flagging items for the monthly reporting.
  • Participate in the monthly forecasting cycle, engaging directly with assigned R&D teams to align central forecasts with team-level projections, surface discrepancies, and document team plans and intent for upcoming spend; produce monthly forecast engagement notes per assigned team cohort.
  • Contribute a FinOps practitioner perspective and team-sourced information, including AI/LLM cost drivers, to showback reporting and top spending R&D team meetings, maintaining an understanding of cost drivers.
  • Support Cost Awareness and Cost Education efforts, and audit and update the relevant space on the wiki.
  • Model team cost projections and respond to customer help requests via Slack, email, and other channels.
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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