DE-Cloud FinOps Engineer-GDSN02 | ErnstYoung Job

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

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 demonstrable delivery experience in FinOps or cloud cost engineering.
• Strong hands-on knowledge of Azure, AWS or GCP infrastructure, billing constructs and native cost-management services; practical multi-cloud experience is preferred.
• Proven experience in cost allocation, Showback/chargeback, budgeting, forecasting, anomaly management, unit economics, workload optimization and rate optimization.
• Experience implementing or operating at least one third-party FinOps platform, including data onboarding, business mapping, dashboards, budgets, forecasts, optimization and governance workflows.
• Strong Python, SQL, REST API and cloud-native CLI skills, with experience building cost data pipelines, reports and auditable automation.
• Proficiency with Terraform or equivalent infrastructure-as-code tooling and integration with CI/CD and policy controls.
• Working knowledge of AI-powered FinOps capabilities such as forecasting, anomaly detection and recommendation generation is desirable but not mandatory.
• Awareness of token economics and AI consumption cost drivers is desirable.

Preferred Skills

• FinOps Certified Practitioner; FinOps Certified Professional, FinOps Certified Engineer or FOCUS certification is advantageous.
• Azure, AWS or Google Cloud architecture, cloud economics or FinOps-related certifications.
• Advanced experience with any of the 3rd party tool - IBM Apptio Cloudability, Flexera One, VMware CloudHealth, Kubecost, Harness CCM, CloudZero, Finout, Vantage or equivalent FinOps platforms.
• Knowledge of Kubernetes cost allocation, OpenCost, SaaS cost management, commitment automation and optimization workflow integration.
• Familiarity with AI for FinOps, token economics and cloud AI pricing models as secondary capabilities.

Your people responsibilities

• Foster teamwork and lead by example
• Participating in the organization-wide people initiatives
• Excellent written and oral communication skills; writing, publishing, and conference-level presentation skills a plus

Technologies and Tools

• Native cloud cost tools: Microsoft Cost Management, AWS Cost Explorer/CUR/Cost Optimization Hub, and GCP Cloud Billing.
• Enterprise FinOps platforms: IBM Apptio Cloudability, Flexera One, VMware CloudHealth and comparable multi-cloud cost-management solutions.
• Engineering-led and specialist FinOps tools: Kubecost/OpenCost, Harness CCM, CloudZero, Finout, Vantage, Spot by Flexera or equivalent.
• Data and analytics: FOCUS, SQL, Python, Power BI, Tableau/Looker, Fabric, BigQuery, Snowflake or equivalent.
• Automation and integration: GitHub/GitLab/Bitbucket, Azure DevOps or equivalent CI/CD, REST APIs, Terraform, Bicep/CloudFormation, ServiceNow and Jira.
• Cloud-native operations: Docker, Kubernetes, Prometheus, Grafana, Azure Monitor, Datadog, Splunk or equivalent observability tooling.
• Secondary AI exposure: AI-assisted forecasting, anomaly detection and cost analysis, plus token usage and model pricing telemetry.

What we look for

• A proven record of delivering core FinOps outcomes across visibility, allocation, budgeting, forecasting, anomaly management and optimization.
• Practical experience delivering measurable savings, cost avoidance, forecast accuracy, allocation coverage, commitment utilization and unit-cost improvement.
• Strong hands-on capability with cloud-native and third-party FinOps platforms, cost data, dashboards, integrations and automation.
• An engineering mindset that converts recommendations into governed, repeatable and auditable operational actions.
• Interest in AI for FinOps and token economics as complementary skills, without losing focus on foundational FinOps delivery.
• Strong collaboration, client communication and knowledge-sharing skills, with the ability to support proposals, architecture discussions and capability building.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland, and the UK – and with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
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