Senior Cloud FinOps Engineer

Peraton is hiring a Senior Cloud FinOps Engineer to manage end-to-end cloud financial operations for the DOI USGS Permitting Modernization and Cloud Infrastructure program. The role oversees AWS and AI/ML cost forecasting, reporting, optimization, budget controls, and compliance in a FedRAMP-compliant federal environment.

Responsibilities:

• Produce monthly FinOps reports including cloud and AI consumption forecasts vs. actuals, unit economics, and Government-facing chargeback views aligned to contract deliverables
• Configure and manage AWS Budgets, Cost Explorer, Cost Anomaly Detection, and Trusted Advisor to monitor spending, identify anomalies, and enforce financial guardrails
• Develop and maintain quarterly rightsizing recommendation packages, identifying underutilized or over-provisioned resources and presenting actionable optimization strategies to Government stakeholders
• Implement and enforce auto-suspend policies for non-production environments to reduce idle consumption costs, as directed by the customer
• Manage AI/ML cost tracking for Amazon Bedrock LLM inference and token consumption, applying FinOps for AI disciplines
• Issue Limitation of Funds notifications to the Contracting Officer at the 75% consumption threshold and provide 60-day advance warning before funding exhaustion
• Maintain compliance with FedRAMP Moderate, FISMA, NIST SP 800-53, and all applicable DOI security and financial policies
• Complete mandatory annual DOI IT Security Awareness Training and execute required DOI Rules of Behavior and non-disclosure agreements

Requirements:

• U.S. Citizenship required; must have the ability to obtain and maintain a Public Trust clearance
• Bachelor's degree and 8 years of professional experience, or a Master's degree and 6 years of professional experience, or a PhD and 3 years of professional experience, or an Associate's degree and 10 years of professional experience, or a high school diploma/equivalent and 12 years of professional experience
• 5 plus years of hands-on cloud engineering experience, with at least 2 years focused on cloud financial management (FinOps)
• Demonstrated knowledge and experience with FinOps Foundation Best Practices for cloud and AI including Tokenomics, FOCUS and tagging strategies
• Demonstrated experience managing AWS cost attribution, budgets, and financial reporting in a multi-account, multi-environment AWS Organization
• Proven ability to build and deliver recurring cloud consumption reports and cost optimization deliverables for Government or enterprise clients
• Advanced proficiency with AWS Cost Management tools: Cost Explorer, AWS Budgets, Cost Anomaly Detection, Trusted Advisor
• Understanding of Amazon Bedrock or other LLM/AI token-based cost models
• Experience with Databricks or similar data platform cost management
• Proficiency in reporting tools and ability to present financial data clearly to technical and non-technical stakeholders
• Experience supporting U.S. federal government programs with FedRAMP, FISMA, or NIST SP 800-53 compliance requirements
• One or more of the following certifications (or able to obtain with 90 days):
• AWS Certified Solutions Architect – Associate or Professional
• AWS Certified DevOps Engineer – Professional
• FinOps Certified Engineer
• FinOps Certified AI Value
• Experience with FinOps for AI/ML cost management (token metering, inference optimization)
• Familiarity with Databricks cluster cost governance and workspace administration
• Familiarity with AWS Organizations, tag policies, and Service Control Policies (SCPs)
• Familiarity with AWS compute services: EC2, Lambda, Fargate, ECS/EKS, and associated cost drivers
• Familiarity with ETL pipelines and medallion-architecture cost considerations
• Experience with 3rd party cloud financial management tools such as IBM Cloudability, Flexera
• Prior experience on a DOI, USGS, or other Department of Interior program
• Experience working in an Agile/Scrum delivery environment using GitLab or Atlassian (Jira/Confluence)
• Knowledge of NIST SP 800-53, NIST SP 800-37 (RMF), or NIST SP 800-64 (SDLC security)
• Experience with cloud governance frameworks in multi-AZ/multi-region AWS deployments
• Background in data engineering or analytics platforms (Databricks, AWS Glue, or similar)
• Familiarity with federal acquisition regulations, particularly reporting and notification requirements under T&M contract vehicles