Manager, Cloud FinOps Engineer
Bristol Myers Squibb
4 hours ago
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 using FinOps principles via technology, automation, and platform design.
Key Responsibilities:
- Perform day-to-day cloud cost/usage analysis across AWS, Azure, and GCP (tagging enforcement, anomaly detection, optimization follow-up).
- Operate/enhance cost observability (dashboards, scorecards, unit-economics, usage trends).
- Investigate cost spikes/anomalies by correlating architecture, utilization, and operational events.
- Improve cost governance coverage and enforce continuous operational coverage.
- Act as technical point of contact for cloud consumers/app teams; translate patterns into engineering guidance.
- Facilitate consumption/optimization reviews and promote engineering-led FinOps best practices.
- Partner with Finance for reliable cost data/tooling/automation.
- Identify waste/inefficiencies; lead optimization initiatives (rightsizing, storage tiering/lifecycle, Kubernetes/container cost drivers, data transfer/networking).
- Support commitment strategies (Savings Plans, Reserved Instances, CUDs).
- Build automation using Python; develop AWS solutions (Lambda, RDS/DynamoDB/Redshift, Step Functions); manage CloudFormation; integrate cost controls/tagging into CI/CD.
- (Optional) Contribute to Auto Remediation Frameworks.
- Apply IAM/role-based access knowledge; ensure auditable cost attribution/ownership and support compliance evidence.
- Collaborate cross-functionally and communicate technical/cost concepts.
Qualifications (Required):
- Bachelor’s degree in CS/Engineering/IS/Data Analytics or related.
- 4–5+ years in cloud engineering/platform ops/SRE/FinOps/cloud ops.
- Strong cloud cost-driver knowledge (compute, storage, databases, networking).
- Hands-on Python; CloudFormation; CI/CD concepts; GitHub/version control.
- Data/analytics: Advanced Excel, SQL, cost modeling/analysis, visualization tools (Power BI/Tableau/QuickSight).
- Understanding of tagging, cost allocation, showback/chargeback; ability to scope/deliver solutions; strong communication/collaboration.
Preferred:
- FinOps Certified Practitioner/Analyst.
- Cloud billing/cost tool experience (AWS Cost Explorer/CUR/Billing Conductor/Budgets; Azure Cost Management; GCP billing exports; Apptio/Flexera/Finout).
- Python + React for internal tools/dashboards; familiarity with commitment strategies.
- Observability tools (CloudWatch/Datadog/Prometheus/Grafana); enterprise/regulatory experience.
- Familiarity with Auto Remediation Frameworks.
The Cloud FinOps Engineer enables cost-efficient, scalable, and well-governed cloud usage across AWS, Azure, and GCP using FinOps principles via technology, automation, and platform design.
Key Responsibilities:
- Perform day-to-day cloud cost/usage analysis across AWS, Azure, and GCP (tagging enforcement, anomaly detection, optimization follow-up).
- Operate/enhance cost observability (dashboards, scorecards, unit-economics, usage trends).
- Investigate cost spikes/anomalies by correlating architecture, utilization, and operational events.
- Improve cost governance coverage and enforce continuous operational coverage.
- Act as technical point of contact for cloud consumers/app teams; translate patterns into engineering guidance.
- Facilitate consumption/optimization reviews and promote engineering-led FinOps best practices.
- Partner with Finance for reliable cost data/tooling/automation.
- Identify waste/inefficiencies; lead optimization initiatives (rightsizing, storage tiering/lifecycle, Kubernetes/container cost drivers, data transfer/networking).
- Support commitment strategies (Savings Plans, Reserved Instances, CUDs).
- Build automation using Python; develop AWS solutions (Lambda, RDS/DynamoDB/Redshift, Step Functions); manage CloudFormation; integrate cost controls/tagging into CI/CD.
- (Optional) Contribute to Auto Remediation Frameworks.
- Apply IAM/role-based access knowledge; ensure auditable cost attribution/ownership and support compliance evidence.
- Collaborate cross-functionally and communicate technical/cost concepts.
Qualifications (Required):
- Bachelor’s degree in CS/Engineering/IS/Data Analytics or related.
- 4–5+ years in cloud engineering/platform ops/SRE/FinOps/cloud ops.
- Strong cloud cost-driver knowledge (compute, storage, databases, networking).
- Hands-on Python; CloudFormation; CI/CD concepts; GitHub/version control.
- Data/analytics: Advanced Excel, SQL, cost modeling/analysis, visualization tools (Power BI/Tableau/QuickSight).
- Understanding of tagging, cost allocation, showback/chargeback; ability to scope/deliver solutions; strong communication/collaboration.
Preferred:
- FinOps Certified Practitioner/Analyst.
- Cloud billing/cost tool experience (AWS Cost Explorer/CUR/Billing Conductor/Budgets; Azure Cost Management; GCP billing exports; Apptio/Flexera/Finout).
- Python + React for internal tools/dashboards; familiarity with commitment strategies.
- Observability tools (CloudWatch/Datadog/Prometheus/Grafana); enterprise/regulatory experience.
- Familiarity with Auto Remediation Frameworks.