DE-Cloud FinOps Engineer-GDSN02

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Career Family : Multi Cloud Role Type : FinOps SME The opportunity As a Senior FinOps Engineer in the Cloud Engineering team, you will deliver multi-cloud financial management solutions for global clients. The primary focus is core FinOps—cost visibility and allocation, budgeting and forecasting, anomaly management, workload and rate optimization, governance, chargeback/showback and business-value realization. Secondary skills include applying AI to improve FinOps operations, understanding token economics, and working with leading third-party FinOps platforms.   Your key responsibilities

Own cloud cost visibility, data ingestion, normalization, tagging, allocation and reporting across Azure, AWS and GCP. Implement Showback and chargeback models, shared-cost allocation, account and subscription mapping, invoice reconciliation and cost-data quality controls. Develop budgets, forecasts, variance analysis, planning models, unit economics and executive dashboards aligned with business objectives. Drive anomaly detection and management, including thresholds, alerts, root-cause analysis, ownership, corrective actions and reporting. Deliver workload optimization through rightsizing, idle-resource elimination, scheduling, storage and network optimization, and architecture recommendations. Lead rate optimization covering reservations, savings plans, committed-use discounts, licensing, marketplace commitments and coverage/utilization tracking. Establish FinOps policies, governance forums, KPIs, maturity assessments, optimization backlogs and accountability across engineering, finance, procurement and product teams. Configure and operate native and third-party FinOps tools for data integration, allocation, budgeting, forecasting, anomaly management, optimization and workflow automation. As a secondary capability, apply AI for FinOps use cases such as natural-language cost analysis, predictive forecasting, anomaly triage and recommendation summarization, with appropriate human validation. Support token economics by measuring, allocating and optimizing AI consumption using metrics such as cost per token, request, application, user or business outcome.

Skills and attributes for success

Strong knowledge of core FinOps capabilities: cost data ingestion, allocation, reporting and analytics, anomaly management, planning and estimating, forecasting, budgeting, benchmarking and unit economics. Hands-on expertise in workload optimization, rate optimization, licensing and SaaS cost management, invoicing, chargeback, policy and governance, and FinOps practice operations. Ability to translate cloud cost and usage data into actionable recommendations and measurable savings, cost avoidance, forecast accuracy and business-value outcomes. Practical experience with multi-cloud billing data, FOCUS or equivalent schemas, SQL, Python, APIs and business-intelligence tools. Hands-on knowledge of third-party FinOps tools such as IBM Apptio Cloudability, Flexera One, VMware CloudHealth, Kubecost, Harness CCM, CloudZero, Finout, Vantage or equivalent. Working knowledge of AI for FinOps use cases and the ability to validate AI-generated forecasts, anomalies and optimization recommendations. Basic knowledge of token economics, including token usage attribution, model pricing, cost-per-request and cost-per-business-outcome analysis. Strong stakeholder management across engineering, finance, procurement, product and leadership teams.

To qualify for the role, you must have

BE/B.Tech/MCA or equivalent, with 3–7 years of relevant industry experience and