Software Engineer API Gateway – AI Platform (Apigee & MCP Integration)

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

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

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