Peraton Logo

Peraton

Senior Cloud FinOps Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
86K-138K Annually
Senior level
Remote
Hiring Remotely in United States
86K-138K Annually
Senior level
Owns end-to-end FinOps for a multi-account AWS platform, including forecasting, budgeting, cost attribution, anomaly detection, rightsizing, chargebacks, and financial reporting. The role governs AI/ML costs such as Amazon Bedrock token consumption, implements cost controls, supports federal stakeholders, and ensures compliance with FedRAMP, FISMA, and NIST requirements. It also provides funding threshold notifications and optimization recommendations across cloud and data platforms.
The summary above was generated by AI
Responsibilities

Peraton is seeking a skilled and motivated FinOps 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 FinOps 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.


Peraton supports the U.S. Department of the Interior (DOI) and U.S. Geological Survey (USGS) in modernizing the federal permitting process through the Permitting Modernization and Cloud Infrastructure program. At the heart of this initiative is the WARP platform (Workflows, Authorizations, Registrations, and Permits), a cloud-native AWS environment purpose-built to streamline and accelerate how the federal government processes permits, authorizations, and registrations. The program leverages cutting-edge cloud infrastructure, AI-assisted decision support, and advanced data engineering to serve a large, distributed team of developers, business analysts, and Government stakeholders. Peraton's role spans the full lifecycle of cloud operations from provisioning and managing secure multi-environment AWS infrastructure and AI/ML services to delivering workforce training and certification, all within a rigorous federal compliance framework including FedRAMP, FISMA, and NIST security standards.


Work Location: Remote


What You Will Do:

  • 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.
Qualifications

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 (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

Preferred qualifications:

  • 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.
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Similar Jobs

One Month Ago
Remote
United States
160K-175K Annually
Senior level
160K-175K Annually
Senior level
Cloud • Information Technology
Leads cloud financial management and optimization across AWS, Azure, and GCP clients. Analyzes spending, allocation, commitments, unit economics, forecasts, and savings opportunities; builds reporting and automation with SQL and scripting; and governs tagging and billing data. Advises technical, financial, procurement, and executive stakeholders, presents recommendations, executes remediation, mentors engineers, supports pre-sales, and improves FinOps standards and delivery practices. The remote U.S. role includes up to 10% domestic travel and occasional after-hours support.
Top Skills: Apptio CloudabilityAWSAzureCloudzeroFocusGCPHarness CcmJIRAKubernetesPower BIPowershellPythonServicenowSQLTableau
A Minute Ago
Remote or Hybrid
175K-215K Annually
Senior level
175K-215K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Develop high-performance C++ software for machine learning, computer vision, inverse procedural modeling, and 3D content generation. Apply linear algebra, probability, and geometry to large-scale geospatial datasets. Collaborate with leadership on product requirements, manage code with Git, deploy and test on remote Unix-based systems, and contribute to research-driven computer graphics and gaming applications.
Top Skills: 3D ModelingC++CmakeComputer GraphicsComputer VisionGeospatial DataGitLinuxMachine LearningmacOSPythonUnix ShellUnreal Engine
2 Minutes Ago
In-Office or Remote
Entry level
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead strategy and execution for an open-weight LLM inference platform. Manage GPU capacity, inference optimization, model migrations, availability, benchmarking, governance, cost efficiency, and model selection. Translate business goals into technical priorities, develop roadmaps and cost models, and coordinate engineers, architects, security, legal, finance, product, and external cloud or GPU partners.
Top Skills: Cloud InfrastructureGpu Capacity PlanningInference OptimizationLlm Inference PlatformsModel BenchmarkingOpen-Weight ModelsOss Models

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account