Design and implement secure, scalable API proxies using Google Apigee. Manage AI traffic quotas and gateway controls for Vertex AI integrations. Develop serverless extensions using Google Cloud Run and related GCP services. Orchestrate complex API workflows integrating multiple systems and GCP products (BigQuery, Vertex AI, Cloud Run, etc.). Analyze API traffic and usage patterns using BigQuery. Build and maintain API catalogs using Apigee API Hub. Develop complex integration flows and data transformations using MuleSoft (DataWeave). Implement and enforce API security standards including OAuth 2.0 and OIDC. Develop automation scripts and support CI/CD pipelines for API deployments. Collaborate with cross-functional teams to ensure high availability, performance, and governance of APIs. 5+ years of hands-on experience with Google Apigee (Proxy Design and Policy Implementation). Strong experience with Google Cloud Platform services, including: Cloud Run Vertex AI BigQuery 1+ year of hands-on experience with MuleSoft, including DataWeave transformations. Strong understanding of API security standards (OAuth 2.0, OIDC). Experience implementing CI/CD automation for API lifecycle management. Proficiency in Python and/or JavaScript for scripting and policy development. Experience designing and integrating secure enterprise API architecture. Knowledge of API governance and lifecycle management. Familiarity with DevOps practices and infrastructure automation. Strong problem-solving and analytical skills. Ability to design scalable and secure API architectures. Experience working in hybrid cloud environments. Excellent collaboration and communication skills.
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