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# Cloud Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $86,900.0 - $198,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, Information Systems, IPv4, Python (Programming Language), AWS Cdk, Data Logging, Caching, AI Coding Agents, Cloudformation, Infrastructure Automation Frameworks, Information Technology, Amazon Bedrock, Cloudwatch, Terraform
- **Published:** October 17, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88636117/1

## About the Role

* 5+ years of experience engineering and operating cloud infrastructure in AWS, including multi-account networking with VPCs, Transit Gateway, and centralized egress and inspection
 * 3+ years of experience writing infrastructure as code with AWS CDK, Terraform, or CloudFormation and delivering it through pull request-based CI/CD pipelines with automated tests
 * 3+ years of experience automating infrastructure and cost controls, including schedules, lifecycle rules, tag enforcement, and budget alerts, with Terraform, AWS CDK, or Python delivered through pull request-based CI/CD pipelines
 * 2+ years of experience optimizing cloud costs, including rightsizing, Savings Plans or Reserved Instance coverage, storage lifecycle policies, and off-hours scheduling, with measured savings
 * Experience analyzing billing data in AWS and Azure, including AWS Cost Explorer, Cost and Usage Reports, and Azure Cost Management
 * Experience using AI coding assistants or agents in daily engineering work and reviewing and validating AI-generated infrastructure code before it ships
 * Bachelor's degree in a Computer Science or Information Systems field
 * DoD 8140 IAT Level II Certification such as Security+ CE Certification

Nice If You Have:

 * Experience with cloud management and cost platforms, including Kion, CloudHealth, or Apptio Cloudability, including project budgets and spend enforcement
 * Experience implementing showback or chargeback, including cost allocation tags, account hierarchies, and shared-cost splits for multi-tenant platforms
 * Experience optimizing AI and LLM spend, including Amazon Bedrock, prompt caching, model routing, and batch inference
 * Experience with Azure commercial levers, including reservations, savings plans, and Azure Hybrid Benefit
 * Experience optimizing network and logging costs, including Transit Gateway, NAT gateways, public IPv4, CloudTrail, and CloudWatch log retention
 * Experience supporting AWS GovCloud or DoD Impact Level 5 environments, including GovCloud billing through paired commercial accounts
 * Knowledge of the FinOps Foundation Framework, including unit economics and cost forecastingeconomics and cost forecasting