Principal Full-Stack Architect — Java, React & AI

CBRE; Richardson (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

CBRE is seeking a Principal Full-Stack Engineer to design, build, and operate scalable enterprise applications on a modern Java and React stack. This senior individual-contributor role owns architecture decisions, drives engineering excellence, and mentors engineers across teams.

The candidate will integrate AI capabilities, lead end-to-end delivery, and collaborate with data science to productionize models while maintaining secure, scalable systems.

Qualifications

• 10+ years of hands-on software development with modern Java full-stack.
• Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.
• Proven experience building single-page web applications using React, Bootstrap, and Node.js.
• Proven ability to build responsive, intuitive user interfaces and translate UI/UX mockups into production-ready experiences.
• Strong hands-on proficiency with Python for scripting, automation, data processing, and backend services.
• Demonstrated experience architecting and implementing microservices and event-driven systems using messaging platforms such as Kafka or RabbitMQ.
• Expertise developing and maintaining RESTful APIs, backend services, and database schemas across relational (SQL Server, PostgreSQL) and NoSQL (MongoDB, Elasticsearch) platforms.
• Strong SQL development skills, including query optimization and performance tuning.
• Hands-on experience deploying and operating containerized microservices on AWS and/or Azure, applying cloud-native patterns and infrastructure-as-code.
• Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.
• Proven ability to proactively detect and remediate security vulnerabilities across application code and infrastructure within established SLAs.
• Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development, including unit and integration testing.
• Ability to enforce engineering best practices through peer code reviews, architectural standards, and raising the bar on code quality.
• Proven ability to troubleshoot complex, cross-stack production issues and drive root-cause analysis to resolution.
• Hands-on experience with Agile methodologies and DevOps culture across the software delivery lifecycle, including managing work and releases through Jira and Azure DevOps.

Responsibilities

• Own architecture decisions and drive engineering excellence on a modern Java, Python, and React stack.
• Integrate AI capabilities into production systems, including LLMs, embeddings, RAG pipelines, and agentic workflows.
• Drive architectural decisions and set technical direction across cross-functional teams.
• Lead end-to-end delivery of complex projects, from design through deployment.
• Mentor mid- and junior-level engineers through complex tickets, debugging, root-cause analysis, and production incident response.
• Coach engineers on writing effective unit and integration tests and navigating CI/CD pipelines with confidence.
• Guide engineers into adjacent areas such as cloud computing, AI/ML, and DevOps to expand their scope and impact.
• Collaborate with data science and ML teams to operationalize models, build evaluation pipelines, and deploy production-ready AI services.
• Translate business requirements into scalable technical solutions and explain trade-offs to product, design, and executives.

Skills

Java full-stack

Spring Framework

React

Python

Microservices

AWS/Azure

SQL/NoSQL

Tools

Spring Boot

Hibernate

React

Kafka

RabbitMQ

Docker

Kubernetes

Azure

AWS

SQL Server

PostgreSQL

Elasticsearch

Job description

CBRE is seeking a Principal Full-Stack Engineer to design, build, and operate scalable enterprise applications on a modern Java and React stack. This senior individual-contributor role owns architecture decisions, drives engineering excellence, and mentors engineers across teams.

The candidate will integrate AI capabilities, lead end-to-end delivery, and collaborate with data science to productionize models while maintaining secure, scalable systems.