# Manager, Cloud FinOps Engineer

## About the Role

This role sits within BMS’s Cloud / SRE / Platform organization and focuses on making cloud usage across AWS, Azure, and GCP more efficient, scalable, and governed. It combines cloud engineering with FinOps principles through automation, platform design, and technical controls rather than traditional financial execution.

The position is responsible for building and operating solutions for cost allocation, tagging enforcement, anomaly detection, optimization insights, and reporting. These capabilities are intended to be reliable, scalable, and usable by engineering and application teams.

The role partners closely with SRE, Platform Engineering, Security, Network, Application Owners, Finance, and other stakeholders. Its goal is to turn cloud usage and architecture decisions into actionable guidance and automated controls that improve efficiency and value realization.

## Key Responsibilities

### Cloud Operations and FinOps Engineering
– Analyze cloud cost and usage across AWS, Azure, and GCP, with emphasis on tagging enforcement, anomaly detection, and optimization follow-up.
– Maintain cost observability outputs such as dashboards, scorecards, unit-economics views, and usage trend reporting.
– Investigate cost spikes and anomalies by connecting architecture, utilization, and operational events.
– Identify gaps in cost governance processes and implement technical improvements.

### Platform Enablement and Stakeholder Engagement
– Serve as a technical contact for cloud consumers and application teams.
– Lead recurring cloud consumption and optimization reviews.
– Help teams apply engineering-led FinOps practices within provisioning, deployment, and runtime workflows.
– Provide Finance with reliable cloud cost data, tooling, and automation while ownership remains in IT.

### Optimization and Delivery
– Identify waste and optimization opportunities across compute and database rightsizing, storage tiering and lifecycle policies, Kubernetes and container cost drivers, and data transfer and networking patterns.
– Lead small to medium engineering-driven optimization initiatives with measurable, sustainable impact.
– Support commitment strategies using Savings Plans, Reserved Instances, and CUDs.
– Shift the operating model from reactive cost reduction to continuous, automated optimization.

### Automation, Tooling, and Governance
– Build and maintain Python automation to improve the accuracy, speed, and scale of FinOps operations.
– Develop AWS-based solutions using Lambda, databases, and Step Functions.
– Create and manage CloudFormation templates and support infrastructure-as-code standards.
– Integrate cost controls, tagging validation, and reporting into CI/CD pipelines.
– Use APIs and scripting to automate anomaly reporting, scheduled usage and spend analysis, and billing data ingestion.
– Contribute to auto-remediation frameworks where relevant.
– Apply IAM knowledge to support secure and accountable cloud usage.
– Ensure cost attribution and ownership data is technically enforced, auditable, and traceable.

### Cross-Functional Collaboration
– Work with SRE, Security, Network, Engineering, Product, and Procurement teams on technical cost decisions.
– Represent the FinOps engineering function on cross-functional initiatives.
– Communicate technical and cost-related concepts clearly across engineering, operational, and leadership audiences.

## Required Skills
– Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related technical field.
– 4–5+ years of experience in cloud engineering, platform operations, SRE, FinOps engineering, or cloud operations.
– Strong understanding of cloud platforms and cost drivers across compute, storage, databases, and networking.
– Hands-on Python experience with clean, efficient, maintainable code.
– Experience with AWS services, including Lambda, databases, and Step Functions.
– Experience with CloudFormation.
– Understanding of CI/CD pipeline concepts.
– Strong data and analytics skills, including Advanced Excel, SQL, and cost modeling and analysis.
– Experience with data visualization tools such as Power BI, Tableau, or 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 Skills
– FinOps Certified Practitioner or Analyst certification.
– Experience with cloud billing and cost tools, including AWS Cost Explorer, CUR, Billing Conductor, Budgets, Azure Cost Management, GCP Billing exports, Apptio Cloudability, Flexera, and Finout.
– Experience with Python and React for internal tools or dashboards.
– Understanding of Savings Plans, Reserved Instances, and commitment strategies.
– Familiarity with monitoring and observability tools such as CloudWatch, Datadog, Prometheus, and Grafana.
– Experience in large enterprise or regulated environments.
– Familiarity with auto-remediation frameworks.

## Cloud Platforms & Technologies

### Cloud Providers
– AWS
– Azure
– GCP

### Compute & Containers
– EC2
– VMs
– Kubernetes

### Storage & Data Stores
– S3
– Blob
– GCS
– RDS
– DynamoDB
– Redshift

### Networking
– Data transfer
– Load balancers

### Programming Languages & Frameworks
– Python
– React

### Infrastructure as Code & Automation
– CloudFormation
– AWS Lambda
– Step Functions
– APIs
– Scripting
– Auto Remediation Frameworks

### CI/CD
– CI/CD pipelines

### Data & Analytics
– Advanced Excel
– SQL
– Cost modeling

### BI & Visualization
– Power BI
– Tableau
– QuickSight

### FinOps & Billing Tools
– AWS Cost Explorer
– CUR
– Billing Conductor
– Budgets
– Azure Cost Management
– GCP Billing exports
– Apptio Cloudability
– Flexera
– Finout

### Monitoring & Observability
– CloudWatch
– Datadog
– Prometheus
– Grafana

### Collaboration & Version Control
– GitHub

### Security & Governance
– IAM

## FinOps Responsibilities
– Perform cloud cost and usage analysis across AWS, Azure, and GCP.
– Enforce tagging, cost allocation, and ownership controls.
– Detect anomalies and investigate cost spikes.
– Build and maintain cost observability, dashboards, scorecards, and trend reporting.
– Identify optimization opportunities across compute, storage, databases, containers, and networking.
– Support Savings Plans, Reserved Instances, and CUDs.
– Provide reliable cost data, automation, and tooling to Finance while IT retains operational ownership.
– Embed cost governance into platform standards, CI/CD, and runtime workflows.
– Enable auditable cost attribution and traceability.

## Benefits
– Medical, pharmacy, dental, and vision coverage.
– Wellbeing support through BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs.
– Financial protection including a 401(k), disability, life, accident, supplemental health, travel, personal liability, identity theft, legal, and survivor support.
– Paid time off options may include flexible time off or annual vacation, holidays, optional holidays, paid sick time, volunteer days, summer hours, leave options, and an annual shutdown period between Christmas and New Year’s Day.
– Additional incentive cash and stock opportunities may be available, depending on eligibility.
– Starting compensation range: $119,430–$144,715 (Princeton, NJ, US).

## Useful Links
– Careers: careers.bms.com/working-with-us
– Benefits: https //careers.bms.com/life-at-bms/

## Why You Might Be Interested

This role combines cloud engineering and FinOps across AWS, Azure, and GCP. It is hands-on and technical, with responsibility for automation, governance, and reporting embedded into platform workflows. The work involves regular collaboration with engineering, security, finance, procurement, and application teams. It also comes with a defined salary range and a broad set of health, wellbeing, and time-off benefits.