Manager, Cloud FinOps Engineer
Bristol Myers Squibb · Princeton, NJ · Yesterday
Engineering$119k–$145k/yrFull-time
About the role
The Cloud FinOps Engineer is an IT and cloud engineering role responsible for enabling cost-efficient, scalable, and well-governed cloud usage across BMS’s multi-cloud platforms (AWS, Azure, GCP).
Responsibilities
- Perform day-to-day cloud cost and usage analysis across AWS, Azure, and GCP, focusing on tagging enforcement, anomaly detection, and optimization follow-up.
- Operate and enhance cloud cost observability solutions, including dashboards, scorecards, unit-economics views, and usage trends.
- Investigate cost spikes and usage anomalies by correlating architecture, utilization, and operational events.
- Ensure continuous operational coverage by identifying gaps in cost governance processes and implementing technical improvements.
- Serve as a technical point of contact for cloud consumers and application teams, translating cost, utilization, and architectural patterns into clear engineering guidance.
- Facilitate recurring cloud consumption and optimization reviews, focusing on how design choices impact scalability, reliability, and cost.
- Influence teams across IT to adopt engineering-led FinOps best practices, embedded into provisioning, deployment, and runtime operations.
- Partner with Finance teams by providing reliable cloud cost data, tooling, and automation, while ownership remains within IT.
- Independently analyze cloud usage to identify waste, inefficiencies, and optimization opportunities, including Compute and database rightsizing, Storage tiering and lifecycle policies, Kubernetes and container cost drivers, Data transfer and networking patterns.
- Lead small-to-medium engineering-driven optimization initiatives, ensuring measurable and sustainable impact.
- Support commitment strategies (Savings Plans, Reserved Instances, CUDs) through data analysis and tooling enablement.
- Promote a shift from reactive cost reduction to continuous, automated optimization.
- Build and maintain automation solutions using Python to improve accuracy, speed, and scalability of FinOps operations.
- Create and manage CloudFormation templates and support infrastructure-as-code standards.
- Integrate cost controls, tagging validation, and reporting into CI/CD pipelines.
- Leverage APIs and scripting to automate cost anomaly reporting, scheduled usage and spend analysis, and data ingestion from cloud billing systems.
- Contribute to or enhance Auto Remediation Frameworks to correct inefficient or non-compliant configurations.
- Apply knowledge of Identity and Access Management (IAM), especially role-based access, to support secure and accountable cloud usage.
- Ensure cost attribution and ownership data are technically enforced and auditable.
- Support compliance and audit needs by enabling system-generated evidence and traceability.
- Collaborate with Security and Compliance teams to embed FinOps controls into platform standards.
- Work with SRE, Security, Network, Engineering, Product, and Procurement teams to integrate cost considerations into technical decisions.
- Represent the FinOps engineering function on cross-functional initiatives.
- Communicate complex technical and cost-related concepts clearly across engineering, operational, and leadership audiences.
Qualifications & Experience
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or related technical field.
- 4–5+ years of experience in cloud engineering, platform operations, SRE, FinOps engineering, or cloud operations roles.
- Strong understanding of cloud platforms and cost drivers, including Compute (EC2, VMs, Kubernetes), Storage (S3, Blob, GCS), Databases (RDS, DynamoDB, SQL), Networking (data transfer, load balancers).
- Hands-on experience with Python, including writing clean, efficient, maintainable code.
- Experience with BMS Internal AWS services (Lambda, databases, Step Functions), CloudFormation, CI/CD pipeline concepts.
- Strong data and analytics skills, including Advanced Excel, SQL, Cost modeling and analysis.
- Experience with data visualization tools (Power BI, Tableau, QuickSight).
- Working knowledge of GitHub and version control practices.
- Understanding of tagging strategies, cost allocation, and showback/chargeback models.
- Ability to independently scope and deliver moderately complex technical solutions.
- Strong communication and collaboration skills.
Preferred
- FinOps Certified Practitioner or Analyst certification.
- Experience with cloud billing and cost tools (AWS Cost Explorer, CUR, Billing Conductor, Budgets, Azure Cost Management, GCP Billing exports).
- Experience with Python and React for internal tools or dashboards.
- Experience with Savings Plans, Reserved Instances, and commitment strategies.
- Familiarity with monitoring/observability tools (CloudWatch, Datadog, Prometheus, Grafana).
- Experience working in large enterprise or regulated environments.
- Familiarity with Auto Remediation Frameworks.