Responsibilities:

• Lead the design, development, and deployment of APIs using Apigee Edge, Apigee X, and Apigee Hybrid, ensuring alignment with enterprise architecture standards
• Architect, install, and manage the Apigee Hybrid runtime on Kubernetes (GKE, EKS, or OpenShift), including control plane integration, networking, and security configurations
• Drive capacity planning and infrastructure sizing for Apigee Hybrid clusters based on projected API traffic, availability zones, and IP/CIDR allocations
• Configure and manage API policies for traffic management, transformation, caching, and advanced security (e.g., OAuth2, JWT, mTLS, threat protection)
• Implement and enforce API governance standards, environment group strategies, and proxy design conventions
• Support the full API lifecycle - from design and mocking to publishing, testing, monitoring, troubleshooting, and deprecation
• Integrate with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for API bundle deployments, shared flows, and environment-specific configuration promotion
• Develop and maintain shared flows and reusable proxy patterns for authentication, logging, error handling, and traffic control
• Monitor and troubleshoot platform issues using Kubernetes tools (kubectl, helm) and integrate with observability platforms (e.g., Cloud Ops, Prometheus, ELK)
• Collaborate with backend teams, security teams, and infrastructure teams to ensure seamless API adoption and runtime stability
• Provide technical leadership, documentation, and mentorship to development and platform engineering teams

Qualifications:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience.
• Strong hands-on experience in API design and proxy development using Apigee Edge, X, and/or Hybrid.
• Solid understanding of REST, JSON, XML, and modern API security patterns (OAuth2, JWT, mTLS, SAML/SSO).
• Experience deploying and operating applications on Kubernetes - with knowledge of pods, services, namespaces, helm, IP/CIDR planning, and cluster sizing.
• Proven experience working with DevOps and automation tools (e.g., Maven, Git, Jenkins, Azure DevOps, GitHub Actions).
• Exposure to backend integration patterns with systems such as microservices, and legacy systems.

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