Manager, Cloud FinOps Engineer

Working with Us

Working at Bristol Myers Squibb is challenging, meaningful, and life‑changing. The company offers opportunities to grow, thrive, and work on impactful projects across all departments, from production line optimization to cell therapy innovations.

The Cloud Fin Ops 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). The role embeds cost visibility, optimization, and governance directly into cloud architectures, code, CI/CD pipelines, and operational workflows.

• 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 Fin Ops 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 Fin Ops operations.
• Develop solutions in AWS using services such as Lambda, RDS, Dynamo
  
  DB, Redshift, Step Functions, and Cloud Formation templates.
• 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
  • Data ingestion from cloud billing systems
• Apply knowledge of 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 Fin Ops controls into platform standards.
• Work with SRE, Security, Network, Engineering, Product, and Procurement teams to integrate cost considerations into technical decisions.
• Represent the Fin Ops engineering function on cross‑functional initiatives.
• Communicate complex technical and cost‑related concepts clearly across engineering, operational, and leadership audiences.

• 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, Fin Ops engineering, or cloud operations roles.
• Strong understanding of cloud platforms and cost drivers, including:
  • Compute (EC2, VMs, Kubernetes)
  • Storage (S3, Blob, GCS)
  • Databases (RDS, Dynamo
    
    DB, 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), Cloud Formation, and CI/CD pipeline concepts.
• Strong data and analytics…