FinOps Engineer Lead (Python exp. required)

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At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

LOB Description:

The FinOps Engineer will support cloud financial management activities by delivering accurate, timely, and actionable cost reporting and analysis across cloud platforms. This role will play a key part in supporting Cloudability integration and onboarding efforts while continuing to provide FinOps reporting and insights for multiple agile teams. The ideal candidate has strong analytical skills, hands‑on cloud cost reporting experience, and working knowledge of Python for data extraction and report automation.

This job is responsible for partnering with engineering and technology teams to implement measures prescribed by the Site Reliability Engineer teams it leads. Key responsibilities include ensuring appropriate instrumentation, tooling, ticketing, alerting and on call routines are in place for key services, demonstrating technical expertise within domains, and decomposing objectives into work units. Job expectations include advancing efficient solution delivery practices and promoting exceptional design, engineering, and organizational practices.

Responsibilities:

• Collaborates with Development and Infrastructure teams to understand technical solutions and implement monitoring capabilities outlined in the application and system monitoring designs put forward by the Senior Site Reliability Engineer (SRE)

• Develops and maintains reliability scripts, tools and libraries and leverages them for common instrumentation, automation, and operational needs, and when mentoring SRE resources on reliability practices and established tools/capabilities

• Partners to implement code changes to make use of common reliability libraries and tools and helps Application Production Services and Application Development teammates understand how to use them

• Participates regularly in architecture community of practice meetings and communication via other channels

• Identifies vulnerabilities and opportunities for reliability improvement, such as investigating low level error rates and 'noise' in monitoring, and defines solutions to reduce manual support effort and/or improve system reliability

• Engages as a subject matter expert in major incident triage efforts and failure scenario modelling and diagnosis with Problem Manager root causes for major incident/problem management investigations.

• Provide ad hoc financial analysis and executive reporting related to cloud spending and optimization initiatives.

• Design and establish a unified backend data platform and front-end service layer that provides a consistent, single interface for consuming cloud cost, usage, and optimization insights—enabling seamless integration, improved data accessibility, and standardized FinOps consumption across enterprise stakeholders.

• Develop and maintain cloud financial reporting, dashboards, and automated processes to provide visibility into cloud spend and resource utilization.

• Support FinOps activities including budgeting, forecasting, chargeback/showback, cost optimization, and variance analysis.

• Administer and support Cloudability and other FinOps tools, ensuring data accuracy, validation, and reporting integrity.

• Create automated reporting and analytics solutions using Python, SQL, and related tools to improve efficiency and streamline data processes.

• Partner with Agile, engineering, and business teams to promote FinOps best practices and improve financial accountability across cloud environments.

• Monitor cloud usage trends and recommend optimization strategies to improve cost efficiency and operational performance.

• Document FinOps processes, methodologies, and governance procedures to support scalability and standardization.

Required Qualifications:

• FinOps & Cloud Cost Management

• Experience with cloud cost and usage reporting, including analysis of consumption trends and cost drivers across cloud environments.

• Strong understanding of cost allocation methodologies and chargeback/showback concepts to support financial transparency and accountability.

• Ability to perform optimization analysis, identify savings opportunities, and recommend cost efficiency improvements.

• Experience supporting budgeting, forecasting, and variance analysis activities related to cloud financial management.

• Ability to provide actionable reporting and insights to both technical and business stakeholders.

Programming & Automation

• Proficiency in Python scripting for data extraction, transformation, reporting, and process automation.

• Experience developing automated reporting solutions, recurring dashboards, and scalable data pipelines.

• Working knowledge of SQL for querying, validating, and reconciling large datasets.

• Ability to streamline and improve manual reporting processes through automation and process optimization initiatives.

• Experience working with analytics and reporting tools to support operational and financial decision-making.

Cloud Platforms

• Hands-on experience with at least one major cloud service provider, including AWS, Azure, or Google Cloud Platform.

• Familiarity with cloud billing structures, pricing models, and native cloud cost management services.

• Understanding of cloud resource utilization patterns and optimization strategies, including rightsizing and reservation recommendations.

• Ability to support cloud financial governance and FinOps best practices across enterprise environments.

• Experience collaborating with engineering, infrastructure, and Agile teams in cloud-based environments.

Desired Qualifications:

• Experience with FinOps tools such as Cloudability, Apptio, or similar platforms.

Skills:

• Automation

• Collaboration

• Influence

• Production Support

• Result Orientation

• Analytical Thinking

• Application Development

• Architecture

• Solution Design

• Stakeholder Management

• Adaptability

• DevOps Practices

• Project Management

• Risk Management

• Solution Delivery Process

Shift:

1st shift (United States of America)

Hours Per Week: 

40