AI Gateway Engineer (M/K)

Experis is a global leader in recruitment of specialists and management staff in key IT areas. They offer competitive job offers and interesting IT projects for both experienced experts and those starting their careers in the IT industry.

• Strong hands-on experience with API platforms and gateway technologies in enterprise environments
• Experience with gateway platforms such as Kong, IBM API Connect, DataPower cloud-native gateways or similar API management technologies
• Good knowledge of Terraform and infrastructure-as-code practices
• Experience with Kubernetes and Helm charts for deploying and managing platform or gateway components
• Good knowledge of CI/CD pipelines, source control workflows and automated release practices
• Good knowledge of Python and Lua for creating, extending and maintaining Kong plugins
• Good knowledge of IdP integration, authentication, authorisation and access control patterns for gateways
• Experience setting up logging, monitoring and alerting, including work with observability tools such as Splunk, Prometheus and Grafana

• Design, build and operate AI Gateway capabilities based on strong API platform and gateway engineering practices
• Implement secure and reusable gateway patterns for LLM access, MCP servers and A2A agent-to-agent integrations
• Develop and maintain infrastructure-as-code using Terraform and support automated provisioning of gateway components
• Build and improve CI/CD pipelines, source control workflows and release practices for gateway configuration and platform changes
• Setup and automate gateway policies to expose AI capabilities in a consistent, governed and developer-friendly way
• Create and extend Kong plugins using languages such as Lua and Python to support custom gateway capabilities and integrations
• Integrate the AI Gateway with enterprise identity providers and support authentication, authorisation and access control patterns