Apigee Integration Architect

Hi All,

Good Morning,

We have an urgent position for the below mentioned requirement.

Role: Apigee Integration Architect

Location: Reading, PA

Work Arrangement: 100% Onsite

Experience: Need 15+ years consultant with at least 4-5 years of Architect experience

Job Summary

We are seeking an experienced Apigee Integration Architect to design, develop, and support enterprise API and integration solutions for a major client in Reading, PA.

The ideal candidate will have strong hands-on experience with Apigee, Java, Spring Boot, Kafka, AWS, API Management, and enterprise integration architectures, along with practical knowledge of Snowflake, CI/CD, and emerging AI/LLM and MCP server patterns.

The candidate should be comfortable working across application development, API management, cloud, integration, data, and emerging AI technologies while providing technical architecture and hands-on engineering guidance.

Key Responsibilities

• Design and implement scalable API and integration architectures using Apigee and modern cloud technologies.

• Lead the architecture, development, deployment, and lifecycle management of enterprise APIs.

• Develop and support integration services using Java and Spring Boot.

• Design and implement RESTful APIs and microservices following enterprise architecture and security standards.

• Configure and manage Apigee API proxies, policies, shared flows, API products, developer applications, and environments.

• Implement API security, authentication, authorization, traffic management, rate limiting, quotas, and monitoring.

• Design event-driven integrations using Apache Kafka, including producers, consumers, topics, and messaging patterns.

• Integrate enterprise applications and services across AWS cloud environments.

• Work with development and DevOps teams to establish effective CI/CD pipelines for API and integration deployments.

• Support integration with Snowflake and enterprise data platforms.

• Troubleshoot complex API, integration, application, cloud, and performance issues.

• Establish API governance, standards, reusable integration patterns, and best practices.

• Participate in architecture reviews, technical design sessions, and solution discussions with engineering and business teams.

• Collaborate with security, infrastructure, cloud, data, and application teams to deliver reliable integration solutions.

• Evaluate emerging technologies and identify opportunities to incorporate AI/LLM capabilities into enterprise integration platforms.

• Explore and support emerging Model Context Protocol (MCP) server patterns and AI-agent integration architectures.

• Ensure APIs and integrations meet enterprise security, scalability, availability, and performance requirements.

• Provide technical leadership and mentorship to development and integration engineering teams.

Required Technical Skills

• 14+ years of experience in software engineering, integration architecture, API architecture, or related roles.

• Strong hands-on experience with Apigee API Management.

• Strong Java development experience.

• Strong experience with Spring Boot and Spring-based microservices.

• Hands-on experience designing and developing REST APIs.

• Strong experience with Apache Kafka and event-driven architecture.

• Strong AWS Cloud experience.

• Experience with enterprise API Management and Integration Architecture.

• Strong understanding of API security, authentication, authorization, OAuth 2.0, and related security patterns.

• Experience with CI/CD and DevOps practices.

• Practical experience with Snowflake or modern cloud data platforms.

• Strong understanding of microservices and cloud-native architectures.

• Excellent architecture, troubleshooting, communication, and stakeholder-management skills.

AI / Emerging Technology Experience

• Practical understanding of Generative AI and LLM-based architectures.

• Understanding of integrating APIs and enterprise applications with LLM/AI services.

• Familiarity with Model Context Protocol (MCP) and MCP server concepts.

• Understanding of AI-agent/API integration patterns is highly desirable.

• Experience with AWS AI/ML services is a plus.

Preferred Skills

• AWS API Gateway

• AWS Bedrock

• Docker / Kubernetes

• OpenShift

• Git / GitHub / GitLab

• Jenkins / GitHub Actions

• Terraform / Infrastructure as Code

• OAuth 2.0 / OIDC

• GraphQL

• PostgreSQL

• Microservices Architecture

• Event-driven Architecture

• API Security and Governance

• Observability / Monitoring

Leadership & Collaboration

The successful candidate will work closely with:

• Enterprise and Solution Architects

• Application Development Teams

• Cloud and DevOps Teams

• Security and IAM Teams

• Data Engineering Teams

• Infrastructure and Networking Teams