Job Description
Restaurant365 is seeking a Senior DevOps Engineer to lead the design, buildout, and operational ownership of our Azure cloud infrastructure supporting internally developed Claude AI applications. This role is the technical cornerstone of a new initiative enabling business users across the organization to build, host, and securely share AI-powered applications. You will own the full lifecycle from infrastructure provisioning and CI/CD pipeline design through change management, security governance, and production operations.
This role focuses on enterprise-facing applications and internal stakeholder enablement and does not support customer-facing product infrastructure.
This role is a strong fit for someone who enjoys owning cloud platform architecture, strengthening security and governance, improving CI/CD and operational standards, and helping internal teams bring business applications into production in a scalable and supportable way. The role sits at the intersection of DevOps, internal platform engineering, and applied AI enablement.
Restaurant365 is seeking a Senior DevOps Engineer to lead the design, buildout, and operational ownership of our Azure cloud infrastructure supporting internally developed Claude AI applications. This role is the technical cornerstone of a new initiative enabling business users across the organization to build, host, and securely share AI-powered applications. You will own the full lifecycle from infrastructure provisioning and CI/CD pipeline design through change management, security governance, and production operations.
This role focuses on enterprise-facing applications and internal stakeholder enablement and does not support customer-facing product infrastructure.
This role is a strong fit for someone who enjoys owning cloud platform architecture, strengthening security and governance, improving CI/CD and operational standards, and helping internal teams bring business applications into production in a scalable and supportable way. The role sits at the intersection of DevOps, internal platform engineering, and applied AI enablement.
