Senior Finops Analyst Id94366

Agileengine; Sucre; Hybrid; COP 384,813,000 - 577,219,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Exciting projects

Flextime remote/office

Job summary

AgileEngine is seeking a Senior FinOps Analyst to guide engineering teams on cloud costs and optimization. The role requires APAC hours with overlap to PST and CST, and strong collaboration with R&D to forecast, monitor spend, and report findings.

Responsibilities include real-time guidance, structured investigations, and influential cost-saving recommendations, with a focus on OpenAI/LLM spend and cost modeling. Excellent written and verbal English required.

Qualifications

• 4+ years of FinOps experience.
• Strong cloud cost management and optimization expertise.
• Ability to investigate spend anomalies and produce root-cause analyses.
• Experience partnering with R&D/engineering teams.
• Forecasting cloud costs and aligning forecasts with team plans.
• Familiarity with OpenAI/LLM cost drivers and monitoring spend.
• Cost modeling and tracking for teams.
• Proficiency with Jira for documenting investigations and Slack for real-time support.
• Maintaining technical docs/wiki and contributing to Showback reports.
• Strong written and verbal communication for stakeholders.

Responsibilities

• Serve as the primary point of 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.
• Investigate spend anomalies, build root-cause analyses, and document in Jira.
• Collaborate on monthly forecasting with assigned R&D teams and document plans.
• Contribute to Showback reporting with AI/LLM cost drivers and cost drivers insights.
• Support Cost Awareness and Cost Education initiatives and update wiki pages.
• Model team cost projections and respond to help requests via Slack and email.

Skills

FinOps

Cloud cost management

Cost anomaly investigation

R&D/engineering partner-facing

Forecasting costs

OpenAI/LLM cost awareness

Cost modeling

Jira documentation

Slack collaboration

Technical writing

Stakeholder communication

English proficiency

Tools

Jira

Slack

Job description

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.