Java Architect--F2F Mandaqte

Hi All,

Good Morning,

We have an urgent position for the below mentioned requirememt.

Location: Reading, PA
Work Arrangement: 100% Onsite
Experience: 12+ Years
Role: Java Architect

Job Summary

We are seeking an experienced Java Architect to design and lead enterprise application architecture for a major client in Reading, PA.

The ideal candidate will have strong hands-on experience with Java, Spring Boot, React, Kafka, Snowflake, AWS/Azure/Google Cloud Platform, and modern AI/LLM technologies, including RAG (Retrieval-Augmented Generation).

The candidate will be responsible for defining scalable, secure, high-performance application architectures while working closely with engineering, cloud, data, DevOps, and AI teams.

Key Responsibilities

• Lead the architecture and design of enterprise-scale applications using Java and Spring Boot.

• Define scalable, resilient, secure, and high-performance microservices architectures.

• Provide technical leadership across application development, cloud, data, DevOps, and AI initiatives.

• Design and develop modern web applications using React and Java-based backend services.

• Design and implement event-driven architectures using Apache Kafka.

• Define integration patterns between applications, APIs, databases, messaging platforms, and cloud services.

• Architect data solutions and application integrations using Snowflake.

• Design and support cloud-native applications across AWS, Azure, and Google Cloud Platform.

• Evaluate cloud services and recommend the appropriate platform based on application and business requirements.

• Design and implement CI/CD pipelines and modern DevOps practices.

• Collaborate with DevOps teams to automate application build, testing, deployment, and release processes.

• Define application security, scalability, availability, performance, and observability standards.

• Lead architecture reviews, technical design sessions, and proof-of-concept initiatives.

• Identify opportunities to modernize legacy applications using cloud-native and microservices architectures.

• Work closely with engineering teams to establish coding, architecture, integration, and deployment standards.

• Troubleshoot complex architectural and production issues and provide long-term technical solutions.

• Mentor senior developers and engineers on architecture, design patterns, and modern engineering practices.

AI / LLM / RAG Responsibilities

• Design and support enterprise applications incorporating Generative AI and LLM capabilities.

• Evaluate and implement LLM integration patterns within enterprise applications.

• Design RAG architectures for connecting LLMs with enterprise data and knowledge sources.

• Work with engineering and data teams to develop secure and scalable AI-enabled applications.

• Understand vector databases, embeddings, retrieval pipelines, prompt engineering, and LLM integration patterns.

• Evaluate emerging AI technologies and identify opportunities to improve business applications using AI.

• Ensure AI solutions follow enterprise security, governance, scalability, and data-protection requirements.

Required Technical Skills

• 12+ years of experience in software engineering and application architecture.

• Strong hands-on experience with Java.

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

• Strong experience designing microservices and enterprise application architectures.

• Hands-on experience with React.

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

• Experience with Snowflake and modern cloud data platforms.

• Strong experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.

• Multi-cloud experience across AWS/Azure/Google Cloud Platform is highly preferred.

• Strong understanding of CI/CD, DevOps, automation, and cloud-native application development.

• Experience with Generative AI, LLMs, and AI application architecture.

• Practical experience with RAG architectures.

• Strong understanding of REST APIs, API integration, security, scalability, and performance.

• Strong architecture documentation, communication, and stakeholder-management skills.

Preferred Skills

• Docker / Kubernetes

• OpenShift

• Terraform / Infrastructure as Code

• Git / GitHub / GitLab

• Jenkins / GitHub Actions

• AWS Bedrock / Azure OpenAI / Google Vertex AI

• Vector databases

• LangChain / LangGraph

• Python for AI/ML integrations

• API Management

• OAuth 2.0 / OIDC

• PostgreSQL

• Redis

• Observability and monitoring

• Agile/Scrum

Leadership & Collaboration

The Java Architect will work closely with:

• Enterprise and Solution Architects

• Application Development Teams

• Cloud and DevOps Teams

• Data Engineering Teams

• AI/ML Teams

• Security and Infrastructure Teams

• Product and Business Stakeholders