Apigee Integration Architect–F2F Mandate

Keylent Inc

Reading (Berks County)

On-site

USD 150,000 - 210,000

Full time

6 days ago

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Job summary

Keylent Inc is seeking an Apigee Integration Architect to design, develop, and support enterprise API and integration solutions in Reading, PA. The role requires hands-on expertise with Apigee, Java, Spring Boot, Kafka, AWS, and modern API management practices.

The candidate should handle API security, CI/CD pipelines, Snowflake, and AI/LLM integration patterns while guiding architecture decisions across development and DevOps teams.

Qualifications

14+ years of software engineering or integration architecture experience.
Strong hands-on experience with Apigee API Management.
Strong Java development experience with Spring Boot and microservices.
Experience designing REST APIs and event-driven architectures.
Deep knowledge of API security, OAuth 2.0, and related patterns.
Experience with CI/CD and DevOps practices.

Responsibilities

Design and implement scalable API and integration architectures using Apigee and cloud technologies.
Lead API lifecycle management, deployment, and governance.
Develop and support integration services using Java and Spring Boot.
Design RESTful APIs and microservices following security standards.
Configure Apigee proxies, policies, and environments; manage API products and developer portals.
Collaborate with security, cloud, data, and DevOps teams to deliver reliable integrations.

Skills

Apigee API Management

Java

Spring Boot

Apache Kafka

AWS

CI/CD

Snowflake

AI/LLM

MCP server patterns

OAuth 2.0

Tools

Docker

Kubernetes

OpenShift

Git

Terraform

Job description

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