Multi-Cloud FinOps Architect

Location: India, Remote

Work Experience: 10+ years overall, with 5+ years in cloud cost management / FinOps

Requirements:

• Deep, hands-on expertise in at least two of AWS, Azure, and GCP — and strong working knowledge of the third.
• Proven hands-on experience with native billing tooling:
  • AWS: Cost Explorer, CUR, AWS Budgets, Trusted Advisor, Compute Optimizer, Savings Plans, RIs.
  • Azure: Cost Management + Billing, Advisor, Reservations, Hybrid Benefit, EA/MCA portal.
  • GCP: Billing Reports, Recommender, CUDs, BigQuery billing export analysis.
• Strong SQL skills - able to write complex queries against CUR, Azure billing exports, and GCP BigQuery billing data.
• Hands-on with IaC (Terraform mandatory; CloudFormation/Bicep/Pulumi a plus) and ability to embed cost controls into pipelines.
• Experience implementing at least one enterprise FinOps platform (Cloudability, CloudHealth, Flexera, Finout, Vantage, etc.).
• Demonstrable savings track record - quantified cost reductions, commitment portfolio management, and unit-cost improvements.
• Strong understanding of Kubernetes cost management (Kubecost / OpenCost) and container/serverless cost models.
• Excellent stakeholder management - comfortable presenting to CFO/CTO and challenging engineering decisions.
• FinOps Certified Practitioner (FOCP) or FinOps Certified Professional from the FinOps Foundation.
• Cloud certifications: AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect.
• Experience with FOCUS (FinOps Open Cost & Usage Specification) adoption.
• Exposure to SaaS cost management (Snowflake, Databricks, Datadog, MongoDB Atlas).
• Sustainability / GreenOps and carbon-aware computing experience.
• Background in managing AI/ML and GPU workload costs (Bedrock, SageMaker, Azure OpenAI, Vertex AI).
• Experience in regulated industries (BFSI, Healthcare, Telco).
• Strong analytical and storytelling skills - able to translate billing data into business narratives.
• Negotiation and vendor management with hyperscalers and resellers.
• Comfortable operating in ambiguity, driving consensus across Engineering and Finance.
• Automation bias; allergic to manual spreadsheets at scale.
• Coaching mindset - builds capability in others rather than creating dependency.

Qualifications: Bachelor’s degree in computer science, Engineering, Information Systems, or related technical field (or equivalent practical experience).

Job Description:

Strategy & Architecture:

• Define and own the enterprise FinOps operating model, framework, and roadmap aligned with the FinOps Foundation principles.
• Architect a unified multi-cloud cost visibility and accountability platform across AWS, Azure, and GCP.
• Establish tagging, account/subscription/project hierarchy, and chargeback / showback models.
• Define KPIs and unit economics (cost per customer, per transaction, per environment, per product).

Hands-On Cost Optimization:

• Analyze billing data using AWS Cost Explorer, CUR (Cost & Usage Reports), Athena, Azure Cost Management, Azure EA/MCA billing exports, GCP Billing BigQuery exports.
• Identify and execute savings opportunities: rightsizing, idle resource elimination, storage tiering, reserved capacity, Savings Plans, Committed Use Discounts (CUDs), Azure Reservations, and spot/preemptible strategies.
• Optimize Kubernetes (EKS, AKS, GKE) costs using tools like Kubecost, OpenCost, and namespace-level chargeback.
• Drive architectural reviews to embed cost-efficiency into design decisions ("FinOps by design").
• AI Application and Token optimization is a big plus.

Tooling & Automation:

• Implement and administer FinOps platforms such as Apptio Cloudability, CloudHealth by VMware, Flexera, Finout, Vantage, Spot.io, ProsperOps, or Anodot.
• Build automated dashboards and reports in Power BI, Tableau, Looker, QuickSight, or Grafana.
• Develop scripts and automations using Python, Terraform, PowerShell, or Bash to enforce tagging policies, auto-shutdown, and anomaly remediation.
• Configure budget alerts, anomaly detection, and forecasting models.

Governance & Operations:

• Establish cost guardrails using AWS Service Control Policies, Azure Policy, and GCP Organization Policies.
• Implement automated tagging enforcement and remediation workflows. Lead monthly/quarterly cost reviews with engineering and business stakeholders.
• Partner with Finance on budgeting, forecasting, accruals, amortization of commitments, and variance analysis.
• Manage Enterprise Agreement (EA), Private Pricing Agreements (PPA), and EDP negotiations with cloud providers.

Culture & Enablement:

• Run internal FinOps enablement programs, workshops, and office hours.
• Build and mentor a small team of FinOps analysts and engineers.
• Evangelize a culture of cost accountability among engineering teams.

Success Metrics (First 12 Months):

• Single pane of glass for multi-cloud cost visibility live and adopted.
• 90%+ tagging compliance across all cloud accounts.
• Documented X% cost optimization (typically 15–30%) without performance impact.
• Commitment coverage and utilization targets (>85% utilization, >70% coverage) consistently met.
• Forecasting accuracy within ±5% of actuals month-over-month.
• Established FinOps Center of Excellence with active engineering participation.