Manager, Cloud FinOps Engineer
Bristol Myers Squibb
June 30, 2026
Remote friendly (Princeton, NJ)
United States
IT
Position Summary
The Cloud FinOps Engineer enables cost‑efficient, scalable, and well‑governed cloud usage across AWS, Azure, and GCP by applying FinOps principles via technology, automation, and platform design.
Key Responsibilities
- Perform day‑to‑day cloud cost/usage analysis across AWS, Azure, GCP (tagging enforcement, anomaly detection, optimization follow‑up).
- Operate/enhance cloud cost observability (dashboards, scorecards, unit‑economics, usage trends).
- Investigate cost spikes/anomalies by correlating architecture, utilization, and operational events.
- Identify gaps in cost governance and implement technical improvements.
- Serve as a technical point of contact; translate cost/utilization/architecture patterns into engineering guidance.
- Facilitate optimization reviews and influence engineering-led FinOps best practices.
- Partner with Finance to provide reliable cloud cost data/tooling/automation (IT retains ownership).
- Analyze usage to find waste/optimization opportunities (rightsizing, storage tiering/lifecycle, Kubernetes/container costs, data transfer/networking).
- Support commitment strategies (Savings Plans, Reserved Instances, CUDs) via analysis/tooling; drive continuous automated optimization.
- Build automation with Python; develop AWS solutions (Lambda, RDS/DynamoDB/Redshift, Step Functions); manage CloudFormation; integrate controls into CI/CD; automate anomaly reporting, scheduled analysis, and billing data ingestion. (Optional: Auto Remediation Frameworks.)
- Apply IAM and enforce auditable cost attribution/ownership; enable evidence/traceability for compliance.
- Collaborate cross‑functionally; communicate clearly to engineering/ops/leadership.
Qualifications & Required Skills
- Bachelor’s degree (CS/Engineering/IS/Data Analytics or related).
- 4–5+ years in cloud engineering/platform ops/SRE/FinOps/cloud ops.
- Strong understanding of cloud cost drivers: compute (EC2/VMs/Kubernetes), storage (S3/Blob/GCS), databases (RDS/DynamoDB/SQL), networking (data transfer/load balancers).
- Hands‑on Python; clean, maintainable code.
- Experience with AWS services (Lambda, databases, Step Functions), CloudFormation, CI/CD concepts.
- Data/analytics: Advanced Excel, SQL, cost modeling/analysis; visualization tools (Power BI/Tableau/QuickSight).
- GitHub/version control; tagging strategies/cost allocation/showback‑chargeback.
- Ability to scope/deliver moderately complex solutions; strong communication/collaboration.
Preferred
- FinOps Certified Practitioner/Analyst.
- Cloud billing/cost tools (AWS Cost Explorer/CUR/Billing Conductor/Budgets; Azure Cost Management; GCP billing exports; Apptio Cloudability/Flexera/Finout).
- Python + React for internal tools/dashboards.
- Observability tools (CloudWatch/Datadog/Prometheus/Grafana); regulated/enterprise experience.
- Savings Plans/Reserved Instances commitment strategy knowledge; Auto Remediation Framework familiarity.
The Cloud FinOps Engineer enables cost‑efficient, scalable, and well‑governed cloud usage across AWS, Azure, and GCP by applying FinOps principles via technology, automation, and platform design.
Key Responsibilities
- Perform day‑to‑day cloud cost/usage analysis across AWS, Azure, GCP (tagging enforcement, anomaly detection, optimization follow‑up).
- Operate/enhance cloud cost observability (dashboards, scorecards, unit‑economics, usage trends).
- Investigate cost spikes/anomalies by correlating architecture, utilization, and operational events.
- Identify gaps in cost governance and implement technical improvements.
- Serve as a technical point of contact; translate cost/utilization/architecture patterns into engineering guidance.
- Facilitate optimization reviews and influence engineering-led FinOps best practices.
- Partner with Finance to provide reliable cloud cost data/tooling/automation (IT retains ownership).
- Analyze usage to find waste/optimization opportunities (rightsizing, storage tiering/lifecycle, Kubernetes/container costs, data transfer/networking).
- Support commitment strategies (Savings Plans, Reserved Instances, CUDs) via analysis/tooling; drive continuous automated optimization.
- Build automation with Python; develop AWS solutions (Lambda, RDS/DynamoDB/Redshift, Step Functions); manage CloudFormation; integrate controls into CI/CD; automate anomaly reporting, scheduled analysis, and billing data ingestion. (Optional: Auto Remediation Frameworks.)
- Apply IAM and enforce auditable cost attribution/ownership; enable evidence/traceability for compliance.
- Collaborate cross‑functionally; communicate clearly to engineering/ops/leadership.
Qualifications & Required Skills
- Bachelor’s degree (CS/Engineering/IS/Data Analytics or related).
- 4–5+ years in cloud engineering/platform ops/SRE/FinOps/cloud ops.
- Strong understanding of cloud cost drivers: compute (EC2/VMs/Kubernetes), storage (S3/Blob/GCS), databases (RDS/DynamoDB/SQL), networking (data transfer/load balancers).
- Hands‑on Python; clean, maintainable code.
- Experience with AWS services (Lambda, databases, Step Functions), CloudFormation, CI/CD concepts.
- Data/analytics: Advanced Excel, SQL, cost modeling/analysis; visualization tools (Power BI/Tableau/QuickSight).
- GitHub/version control; tagging strategies/cost allocation/showback‑chargeback.
- Ability to scope/deliver moderately complex solutions; strong communication/collaboration.
Preferred
- FinOps Certified Practitioner/Analyst.
- Cloud billing/cost tools (AWS Cost Explorer/CUR/Billing Conductor/Budgets; Azure Cost Management; GCP billing exports; Apptio Cloudability/Flexera/Finout).
- Python + React for internal tools/dashboards.
- Observability tools (CloudWatch/Datadog/Prometheus/Grafana); regulated/enterprise experience.
- Savings Plans/Reserved Instances commitment strategy knowledge; Auto Remediation Framework familiarity.