Hi All,
Good Morning,
We have an urgent position for the below mentioned requirement.
Location: Reading, PA
Work Arrangement: 100% Onsite
Experience: 14+ Years
Role: Apigee Integration Architect
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
