Remote Senior Finops Analyst - Cloud Cost & Bi

Svitla Systems, Inc.; Quilmes; Ibrido; ARS 185.750.000 - 278.625.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive compensation

Exciting projects

Flextime

Descrizione del lavoro

AgileEngine is seeking a Senior FinOps Analyst to advise R&D on cloud cost management and optimization. The role requires APAC hours with overlap into LATAM/US afternoon and strong English communication.

Responsibilities include real-time guidance via Slack, monthly spend reviews, anomaly investigations, and cost forecasting in collaboration with R&D teams. Experience with AI/LLM cost drivers and governance is a plus.

Competenze

• Senior-level FinOps experience (4+ years)
• Proficiency in complex SQL or SQL-adjacent queries to analyze cost and usage data
• Strong cloud cost management and optimization expertise
• Proven ability to investigate spend anomalies and provide root-cause analyses
• Experience advising R&D/engineering teams
• Cloud cost forecasting experience
• Familiarity with OpenAI/LLM cost drivers and monitoring LLM spend
• Cost modelling and tracking of team investments/projects
• Experience maintaining technical documentation and wiki spaces and recurring reporting (showback)
• Proficiency with Jira for documenting investigations and Slack for real-time support

Mansioni

• Serve as the primary point of contact for R&D teams seeking cloud cost guidance via Slack and other channels
• Conduct proactive engagement with APAC-based colleagues to review monthly cloud spending and identify cost opportunities
• Monitor cloud and AI/LLM spend for anomalies and investigate variances, delivering root-cause analyses
• Participate in monthly forecasting with R&D teams and document plans for upcoming spend
• Contribute FinOps insights to showback reporting and team meetings
• Support Cost Awareness and Cost Education efforts, update the cloud economics wiki
• Model team cost projections and respond to requests via Slack/email

Conoscenze

FinOps experience

SQL queries

Cloud cost management

Forecasting

Stakeholder advisory

Showback reporting

Strumenti

Jira

Slack

Datadog

Descrizione del lavoro

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 R&D teams on cloud cost management and optimization. This role requires a schedule covering APAC business hours (evening/night shifts in LATAM/US), with some overlap with Pacific Time and afternoon Central Time.

Mandatory requirements include 4+ years of FinOps experience, strong cloud cost management and optimization, forecasting, complex SQL or SQL-adjacent querying, spend anomaly investigation and root-cause analysis, AI/LLM cost monitoring, cost modeling, stakeholder advisory, and reporting, along with an upper-intermediate level of English. Experience with AI/LLM governance is a strong plus.

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 cloud economics space on the wiki.
• Model team cost projections and respond to customer help requests via Slack, email, and other channels.

MUST HAVES

• Senior‑level FinOps (cloud financial operations) experience (4+ years of experience).
• Proficient in complex SQL or SQL‑adjacent queries to analyze cost and usage data or investigate variable cost anomalies to seek root‑cause information.
• 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.
• 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 tooling, with the ability to learn and use new tools quickly (for example, Datadog). No single tool is mandatory.

NICE TO HAVES

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

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.