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.