HRCI is the premier credentialing and learning organization for the human resources profession, headquartered in Alexandria, Virginia. They are seeking an AI Infrastructure & Security Engineer to manage infrastructure and security for their AI systems, optimize cloud services, and ensure efficient deployment processes.
Responsibilities:
- Configure our Claude account to balance benefits and usage costs – we want to optimize net benefits of working with Claude
- Scaffold and maintain Claude Code environments for engineering
- Own the governance layer for AI agents operating within HRCI systems
- Set up Cowork environments so go-to-market, operations, finance, and other non-technical teams can automate workflows without routing every request through engineering
- Maintain and extend CI/CD pipelines for code deployment
- Improve deployment processes to reduce errors and increase velocity
- Maintain development, staging, and production environments
- Maintain and organize code repository documents including provisioning npm and NuGet repos
- Configure, monitor, and maintain Azure services and virtual machines
- Build and manage containerized applications with Azure Container Apps
- Migrate workloads from VMs to containers
- Troubleshoot system performance issues and implement reliability improvements
- Execute all of the above through control panels or scripts
- Research and recommend new Azure services to improve reliability and reduce costs
- Learn and maintain working knowledge of our core SaaS platforms (eCommerce, CRM, Office 365, collaboration tools, contact center, etc.)
- Arrange users, settings and permissions across platforms
- Harness Claude across our environments to identify and fix security vulnerabilities
- Monitor and respond to the threat landscape for coding agent-enabled attack patterns: prompt injection, supply chain attacks through AI-generated code, and adversarial use of the same agentic tools our engineers use
- Maintain endpoint protection, alerts and patch management
- Manage our organization’s security configurations, automated pen testing platform and security training software
Requirements:
- Demonstrated experience with AI coding agents in production environments
- 3+ years software engineering either front end or back end
- 3+ years hands-on experience with Azure (VMs, App Services, networking, storage, identity)
- 3+ years experience with CI/CD pipelines and DevOps practices
- 3+ years experience with Azure DevOps and Azure Repos
- 3+ years experience with GitHub
- 3+ years experience with containerization
- Ability to use Claude Code in a real codebase, including CLAUDE.md and skills authoring and MCP configuration — or comparable work with another agentic coding tool and a clear ability to transfer that experience
- Understanding how agentic coding tools navigate codebases: file traversal and context windows
- Security instincts specific to AI: understands the risk surface of giving agents tool access, recognizes prompt injection as an attack vector, and thinks about what adversaries can do with coding agents
- Can communicate clearly with both engineers and non-technical teams — this role works across the full company
- Strong scripting in Python
- Knows Azure (VMs, App Services, storage, identity, containers, DevOps CI/CD pipelines)
- Solid networking fundamentals: DNS, TCP/IP, firewalls, VPNs
- Can manage Windows Server and Linux systems
- Bachelor's degree in Computer Science, Information Technology, or related field—or equivalent practical experience