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# Senior Systems Engineer

- **Company:** Belay Technologies, Inc
- **Location:** Annapolis, MD, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Confluence, JIRA, Content Delivery Networks, Cloud Computing, Software Debugging, Software Engineering, Large Language Models, Prompt Engineering, Infrastructure as Code (IaC), Git, Atlassian Tools, Cloudflare, Terraform, Software Version Control
- **Published:** August 28, 2026
- **Apply:** https://www.juju.com/job/00000000gpc55t

## About the Role

+ TS/SCI Clearance with polygraph

 + 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Candidates are required to have the following skills:

 + Experience leading software engineering teams and managing technical infrastructure projects.

 + Experience with prompt engineering, demonstrating a deep understanding of the nuances, capabilities, and limitations of modern LLMs

 + Knowledge of Infrastructure as Code (IaC) principles, with practical experience utilizing Terraform for resource deployment

 + Experience reviewing, validating, and debugging AI-generated code or infrastructure configurations for production environments.

 + Knowledge of Content Delivery Network (CDN) concepts and cloud-based hosting environments such as Cloudflare.

 + Familiarity with Git and Atlassian Tools (Jira, Confluence) to manage team workflows and version control.

Candidates are desired to have the following skills:

 + Experience utilizing prompt management frameworks and AI evaluation metrics to track model performance.

 + Experience translating and communicating complex AI and infrastructure concepts to non-technical stakeholders and executive leadership.

## Description

+ Lead the engineering team in leveraging AI tools to design, generate, and deploy CDN infrastructure using Terraform

 + Formulate and refine complex AI prompts to consistently produce secure and optimized Infrastructure as Code (IaC).

 + Evaluate AI-generated outputs for quality and efficiency, adjusting prompting strategies to account for model hallucinations, nuances, and limitations.

 + Establish best practices, standardized workflows, and review processes for the team regarding AI interaction and prompt engineering.

 + Collaborate with stakeholders to define architectural requirements and translate them into effective AI directives.


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