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Software Engineer

API Gateway - AI Platform (Apigee & MCP Integration)

With a global team of 5600+ IT professionals, DHL IT Servicesconnects peopleand keeps the global economy runningby continuously innovating and creating sustainable digital solutions. We workbeyond global bordersand push boundaries acrossall dimensions of logistics. You canleave your markshaping thetechnology backboneof the biggest logistics company of the world. All our offices have earned#GreatPlaceToWorkcertification, 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 Gateway Platform, where Google Apigee X acts as the central control layer enabling secure and governed access to AI services powered by Model Context Protocol (MCP).

This platform provides:

• A single entry point for applications and clients to consume AI services
• Secure integration with MCP servers responsible for AI orchestration
• Centralized security, governance, and traffic management via Apigee

In this role, you will not only build and operate the gateway layer, but also work closely with business units to translate AI use cases into scalable and secure API solutions.

#DHL #DHLITServices #GreatPlace #digitalplatforms #AI #Apigee #MCP #APIPlatform

Grow together.

Your role as API Gateway Engineer - AI Platform:

• Design, develop, and maintain Apigee API proxies exposing MCP-based services
• Configure and manage the AI gateway layer, enabling secure connectivity between applications and MCP servers
• Implement and enforce API security policies, guiderails, including OAuth2, JWT, threat protection, and traffic management
• Define and apply API governance standards for AI service exposure and lifecycle management
• Collaborate with backend teams to ensure proper integration between Apigee gateway, CI/CD, cloud and On-Prem backend infrastructure
• Act as a technical consultant to business units (BUs) by:
• Understanding their AI use cases and integration needs
• Translating requirements into API and MCP design patterns
• Advising on best practices for secure and scalable AI consumption
• Perform a light business analyst role, including:
• Clarifying functional and integration requirements
• Identifying reusable patterns vs custom implementations
• Ensuring alignment with platform capabilities and standards
• Support onboarding of applications and clients consuming AI services via the gateway
• Troubleshoot and resolve issues related to API access, performance, and security enforcement
• Contribute to CI/CD pipelines and automation for API proxy deployment
• Ensure observability through logging, monitoring, and analytics within the API gateway
• Promote best practices in API design, reuse, and standardization

Ready to embark on the journey Here's what we are looking for:

• 5+ years of experience in API development, API management, or platform engineering
• Strong hands-on experience with Apigee (preferably Apigee X), including API proxy development and policy configuration
• Experience implementing API security mechanisms, including OAuth2, JWT, and access control patterns
• Solid understanding of API gateway architecture, traffic management, and governance models
• Experience with API- first design and RESTful services
• Ability to engage with stakeholders and translate business requirements into technical solutions
• Familiarity with cloud environments and distributed systems
• Experience working with CI/CD pipelines and DevOps practices
• Strong troubleshooting and problem-solving skills
• Good communication skills to work with both technical teams and business stakeholders

Nice to have:

• Understanding of MCP and AI/LLM integration patterns
• Experience with AI security controls and tools such as Model Armor
• Familiarity with microservices architecture and high-scale API platforms
• Knowledge of observability, monitoring, and API analytics tools
• Experience supporting enterprise API platforms with high traffic volumes
• Exposure to developer portals and API productization

An array of benefits for you:

• Hybrid work arrangements to balance in-office collaboration and home flexibility.
• Annual Leave: 42 days off apart from Public / National Holidays.
• Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.
• In House training programs: professional and technical training certifications.