Senior Full Stack developer-5

Realign Llc; Chicago (IL); On-site; USD 110,000 - 170,000; Full time

Job summary

Realign Llc is seeking a highly capable Java/Spring backend engineer to design, develop, and maintain scalable, secure applications in cloud-native environments. The role emphasizes microservices, RESTful APIs, and seamless frontend integration with React.js.

You will collaborate with product owners and architects, implement Docker/Kubernetes deployments on GCP, and contribute to CI/CD pipelines while upholding security and Responsible AI principles.

Skills

Java 17+

Spring Boot

Spring Security

Hibernate/JPA

RESTful APIs

Docker

Kubernetes

CI/CD

Git

DevOps

SQL

NoSQL

Generative AI

LLM integration

RAG frameworks

Responsible AI

React.js

Job description

• Strong expertise in Java 17+, Spring Boot, Spring Security, Hibernate/JPA, and RESTful Microservices.
• Experience with cloud-native application development on GCP
• Strong understanding of Microservices, API design, containerization using Docker, and orchestration using Kubernetes.
• Experience with CI/CD pipelines, Git-based version control, and DevOps practices.
• Knowledge of SQL and NoSQL databases.
• Exposure to Generative AI, LLM integration, RAG frameworks, and Responsible AI principles.
• Design, develop, and maintain scalable, secure, and high-performance full stack applications using Java, Spring Boot, Microservices, and modern frontend technologies such as React.js
• Develop responsive and user-friendly web applications with a strong focus on usability, performance, and accessibility.
• Design and implement RESTful APIs, microservices, and reusable components following industry’s best practices and architectural standards.
• Collaborate with business stakeholders, product owners, architects, and cross-functional teams to understand requirements and translate them into technical solutions.
• Build and deploy cloud-native applications on GCP utilizing containerization and orchestration technologies such as Docker and Kubernetes.
• Integrate enterprise applications with third-party services, APIs, and cloud platforms.
• Develop and enhance AI-powered solutions, including chatbots, virtual assistants, document intelligence, and knowledge management platforms using Generative AI and Large Language Models
• Implement and optimize Retrieval-Augmented Generation (RAG) frameworks and AI integrations to improve business processes and user experiences.
• Ensure application security, data privacy, compliance, and adherence to Responsible AI and enterprise governance standards.
• Participate in architecture reviews, technical design discussions, code reviews, and solution development activities.