Java Architect–F2F Mandaqte

Keylent Inc

Reading (Berks County)

On-site

USD 140,000 - 180,000

Full time

6 days ago

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Job summary

Keylent Inc. in Reading, PA is seeking an experienced Java Architect to design and lead enterprise application architecture for a major client. This role focuses on scalable, secure, high-performance solutions across cloud and on-prem environments.

The ideal candidate has hands-on expertise with Java, Spring Boot, React, Kafka, Snowflake, and cloud platforms (AWS/Azure/GCP), plus AI/LLM/RAG approaches to deliver modern, data-driven applications.

Qualifications

12+ years of software engineering and architecture.
Strong hands-on Java experience.
Spring Boot and microservices design.
React front-end experience.
Kafka and event-driven architectures.
Snowflake and cloud data platforms.
Multi-cloud (AWS/Azure/GCP) experience.
CI/CD, DevOps and cloud-native development.
Generative AI/LLM and RAG knowledge.

Responsibilities

Lead architecture and design of enterprise-scale apps using Java and Spring Boot.
Define scalable, secure microservices architectures.
Provide technical leadership across DevOps, data, and AI.
Design web apps using React and Java services.
Implement event-driven architectures with Kafka.
Define integration patterns across systems and cloud services.
Architect data solutions using Snowflake.
Design cloud-native apps across AWS/Azure/GCP.
Define CI/CD pipelines and DevOps practices.
Mentor engineers on architecture and patterns.

Skills

Java

Spring Boot

React

Kafka

Snowflake

Cloud platforms

AI/LLM

RAG

REST APIs

CI/CD

DevOps

Tools

Docker

Kubernetes

OpenShift

Terraform

Git

Jenkins

Job description

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.