Senior Finops Analyst

Svitla Systems, Inc.; Ciudad de Mendoza; Remoto; ARS 185.819.000 - 278.728.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive compensation (USD-based)

Exciting projects

Flextime

Descrizione del lavoro

AgileEngine is seeking a Senior FinOps Analyst to guide engineering teams on cloud costs and optimization. This role requires APAC business hours with overlap PST/CST and collaborates with R&D to align forecasts and track cost drivers.

You will monitor spend, investigate anomalies, document root causes, and contribute to monthly forecasting and showback reporting. Strong communication and documentation are essential.

Competenze

• 4+ years of FinOps experience.
• Strong cloud cost management and optimization.
• Investigate spend anomalies and write root-cause analyses.
• Partner-facing advisory with R&D/engineering teams.
• Forecasting and aligning forecasts with team projections.
• Familiar with OpenAI/LLM cost drivers and monitoring spend.
• Cost modeling and team investment/project tracking.
• Documentation/wiki upkeep and showback reporting.
• Strong written and verbal communication.
• Availability for APAC hours with PST/CST overlap.
• Upper-intermediate English.

Mansioni

• Serve as primary contact for R&D cloud-cost guidance via Slack and channels.
• Engage APAC teams to review monthly spend and surface opportunities.
• Monitor spend for anomalies; produce root-cause analyses and Jira tickets.
• Support monthly forecasting with team cohorts and notes.
• Contribute to showback reporting and cost-driver insights.
• Maintain wiki documentation and conduct cost education.
• Respond to cost-related inquiries via Slack and email.

Conoscenze

FinOps experience

Cloud cost mgmt

Anomaly investigation

R&D liaison

Forecasting

LLM cost drivers

Cost modeling

Jira

Slack

Strumenti

Jira

Slack

Descrizione del lavoro

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.

Requirements

Senior-level FinOps (cloud financial operations) experience (+4 years of experience). 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.