Senior FinOps Analyst

This is a fully remote position, open to applicants in Asia.

📋 Description

• Act as the key Cloud Economics liaison for high-expenditure R&D engineering teams in the APAC region.

• Address incoming inquiries via Slack and other asynchronous channels, offering immediate insights on architectural cost implications.

• Identify spikes in cloud and Generative AI/LLM expenditures and perform thorough root-cause analyses.

• Create comprehensive written RCA reports and remediation playbooks, which will be tracked in Jira.

• Lead monthly micro-forecasting sessions with engineering leaders.

• Align financial models with product roadmaps, deployment strategies, and architectural modifications.

• Oversee, evaluate, and allocate costs associated with OpenAI, foundational models, and vector databases.

• Analyze variable cost trends to avert budget excesses.

• Develop and present regular cloud showback reports for the highest-spending engineering departments.

• Identify cost drivers, efficiency patterns, and potential savings.

• Review, organize, and refresh internal documentation, runbooks, and wiki spaces.

• Train software engineers on cost-effective development methodologies.

• Build comprehensive cost models for new engineering projects, migrations, and proof-of-concept initiatives.

⛳️ Requirements

• Candidates are required to successfully complete a mandatory analytical SQL assessment utilizing cloud billing and usage datasets.

• Proficient in multi-table relational joins, CTEs, subqueries, window functions, and time-interval aggregations.

• Skilled in isolating cost anomalies by distinguishing usage-volume fluctuations from unit-price variations.

• Capable of drafting summary reports outlining findings, root causes, and architectural or remediation recommendations.

• Demonstrated senior-level experience in FinOps, financial modeling, and optimizing cloud usage across AWS, GCP, or Azure.

• Advanced SQL proficiency with raw billing data and detailed time-series usage logs.

• Experience in advising engineering, systems architecture, and product management teams regarding cloud expenditures.

• Expertise in composing professional root-cause analyses for leadership and development teams.

• Experience in executing iterative bottom-up/team-level cloud cost forecasts and reconciling discrepancies with top-down quarterly projections.

• Familiarity with LLM/Generative AI cost factors, including token throughput, prompt versus completion ratios, context-window usage, and model tiering.

• Practical experience with contemporary cloud cost management platforms and workflow tools, such as Datadog CCM, native cloud billing solutions, Jira, Confluence, and Slack.

• Must align with standard APAC business hours.

• All interviews, technical documentation, daily team meetings, and operational communications will be conducted in English.

• Nice-to-have: specialized experience in AI/LLM cost governance.

• Nice-to-have: experience in defining KPI-driven unit metrics.

• Nice-to-have: FinOps Foundation Certified FinOps Practitioner or Professional certification.

🏝️ Benefits

• Fully remote contractor position.

• Direct contract and engagement managed through In All Media.

• Adhere to standard APAC business hours.

• Gain exposure to international clients and collaborate with distributed global teams.