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# Cloud Engineer - AI Gateway - Global Industrial

- **Company:** GPC LLC
- **Location:** Atlanta, GA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Audit Trail, Automation of Tests, Microsoft Azure, Cloud Computing, Disaster Recovery, Failover, Python (Programming Language), Key Management, Unix Shell, Routing, Windows PowerShell, Cloud Services, Data Logging, Scripting, Google Cloud, Load Balancing, Delivery Pipeline, Software Troubleshooting, Caching, Generative AI, Rate Limiting, AI Platforms, Kubernetes, Infrastructure Automation Frameworks
- **Published:** October 5, 2026
- **Apply:** https://jobs.military.com/career/357046/cloud-engineer-ai-gateway-global-industrial-alabama-al-birmingham

## About the Role

* Advanced knowledge of AI gateway architecture and cloud services across Google Cloud Platform, Microsoft Azure, or Amazon Web Services.\n
 * Hands-on experience deploying and operating highly available platform services in cloud and Kubernetes environments.\n
 * Experience integrating generative AI models, agents, and services through standardized gateway interfaces and reusable patterns.\n
 * Proficiency with infrastructure as code, declarative configuration, automated testing, and deployment pipelines.\n
 * Knowledge of model routing, load balancing, failover, rate limiting, token controls, caching, and usage-based cost optimization.\n
 * Experience securing AI services through authentication, authorization, encryption, secrets management, private connectivity, and policy-based controls.\n
 * Knowledge of prompt and response guardrails, content safety, data protection, auditability, and responsible AI governance.\n
 * Proficiency with monitoring, logging, tracing, alerting, usage metering, and cost analysis for distributed AI workloads.\n
 * Strong troubleshooting and root cause analysis skills across platform, network, provider, policy, and application integration layers.\n
 * Knowledge of capacity planning, service-level objectives, resiliency testing, upgrades, backup validation, and disaster recovery.\n
 * Ability to define reference architectures, onboarding standards, operational runbooks, and scalable platform engineering practices.\n
 * Ability to communicate and collaborate effectively with security, cloud, data, architecture, application, and business teams.\n
 * Experience with Python and one or more scripting languages, such as Linux shell or PowerShell, for platform automation and integration.\n
 * Ability to work independently, manage competing priorities, evaluate emerging capabilities, and mentor engineers.\n