Senior Cloud FinOps Engineer

Basic Qualifications:

• U.S. Citizenship required; must have the ability to obtain and maintain a Public Trust clearance; all work must be performed within the United States.
• Must perform all work within the United States; no international work permitted under this contract.
• 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 (Fin Ops).
• Demonstrated knowledge and experience with Fin Ops 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 Dev Ops Engineer – Professional.
• Fin Ops Certified Engineer
• Fin Ops Certified AI Value

Preferred qualifications:

• Experience with Fin Ops 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 Git Lab 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.

Peraton is seeking a skilled and motivated Fin Ops Cloud Engineer to support DOI USGS Permitting Modernization and Cloud Infrastructure program. You will serve as the primary financial operations authority for a multi-environment AWS cloud platform supporting 50+ software developers, 20 business analysts, and Government staff engaged in permitting modernization. You will own end‑to‑end cloud cost management from consumption forecasting to rightsizing recommendations and budget enforcement, following the Fin Ops Foundation's Inform → Optimize → Operate framework.

This is a high‑visibility, mission‑critical role operating within a FedRAMP‑compliant federal environment, directly supporting one of DOI's flagship technology modernization efforts.

Perato…