FinOps Cloud Engineer

You will

• Identify & Optimize: Analyze ingestion, retention, tiering, sampling, and routing rules across cloud logs and storage to pinpoint savings; prioritize opportunities by ROI and risk,
• Automate & Deploy: Build and deploy scalable automation and IaC templates (Terraform/CI/CD) for log/storage cost controls, drift detection, and automated governance,
• FinOps & Governance: Improve tagging and allocation models for accurate showback/chargeback; define policies, workspace quotas, default retention rules, and budget alerts,
• Stakeholder Engagement: Run optimization clinics with platform and application teams to agree on cost reduction targets, owners, and timelines,
• Reporting & Proposals: Build business cases with projected savings, produce executive-ready reporting, and present technical recommendations to senior engineering leads,
• Compliance & Control: Ensure all changes pass strict risk, compliance, and change control frameworks, maintaining runbooks and rollback plans.

Must have

• Multi-Cloud: Hands-on Azure (Log Analytics, Monitor, Sentinel, Policy) + strong knowledge of AWS (CloudWatch, S3) or GCP (Cloud Logging, BigQuery),
• Automation/IaC: Terraform, Python/Bash, and CI/CD (GitHub Actions / Azure DevOps),
• FinOps: Practical experience in cost allocation, tagging, budgeting, and savings forecasting,
• Observability & Storage: Expertise in log architecture, data retention, and storage lifecycle management,
• Enterprise Environment: Experience with strict compliance, change management, and risk frameworks,
• Soft Skills: Ability to present technical proposals to senior leaders and run cross-team workshops.

Nice to have

• Certifications: FinOps Foundation or Cloud (Azure / AWS / GCP)
• Domain: Financial services background.