Test Engineer
DHL Group
QA Engineer – AI Platform (API Gateway & MCP Integration)
With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.
Digitalization. Simply delivered.
Join us at DHL Group Digital Platforms department, where innovation thrives and technology evolves. With a presence across three countries and two continents, we are building a One Stop Shop for all DHL Group APIs and AI-enabled services. Our startup spirit within a stable enterprise environment enables us to deliver secure, scalable, and modern platforms powered by Agile and DevSecOps practices.
About the Project
Be part of a strategic initiative to build DHL’s AI Enablement Platform based on Model Context Protocol (MCP), where Apigee X acts as the secure gateway connecting applications to AI-driven services.
This platform:
- Provides a centralized entry point for consuming AI services through APIs
- Integrates with MCP services responsible for AI orchestration and execution
- Enforces security, governance, and traffic management through Apigee
- Supports scalable and high-performance AI interactions across business domains
As a QA Engineer, you will play a key role in ensuring the quality, reliability, and security of the platform by validating end-to-end interactions across gateway, backend services, and AI integrations.
DHL #DHLITServices #GreatPlace #digitalplatforms #AI #QA #MCP #APIPlatform
Grow together
As a QA Engineer – AI Platform, you will be responsible for ensuring the quality, reliability, security, and performance of API-driven and AI-enabled platform capabilities. You will work across API gateways, MCP, client applications, downstream integrations, and AI workflow orchestration layers.
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