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Principal Software Engineer - Java​/Spring Boot​/React (In Office

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: CBRE
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    Backend Developer, Full Stack Developer, AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Principal Software Engineer - Java/Spring Boot/React (In Office)

About the Role

We are hiring a Principal Full-Stack Engineer to design, build, and operate scalable enterprise applications on a modern Java and React stack. This is a senior individual-contributor role with technical leadership scope: you will own architecture decisions, drive engineering excellence, integrate AI capabilities into production systems, and mentor mid- and junior-level engineers.

The right candidate has deep hands‑on expertise across backend, frontend, cloud‑native microservices, and Dev Sec Ops  practices — and the judgment to make trade‑offs in ambiguity without waiting for direction.

Must‑Have Technologies:
React, Java 17+, Python, Microservices, AWS/Azure, RDBMS, No

SQL

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 Dev Ops 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 executive stakeholders.
Required Skills Technical
  • 10+ years of hands‑on software development experience, with deep expertise in modern Java full‑stack development.
  • 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 No

    SQL (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 Dev Ops culture across the software delivery lifecycle, including managing work and releases through Jira and Azure Dev Ops.
AI & Generative AI
  • Practical experience integrating Large Language Models into applications via APIs (OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).
  • Familiarity with prompt engineering, Retrieval‑Augmented Generation (RAG), embeddings, and vector databases.
  • Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.
Leadership & Soft Skills
  • Proven ability to lead, mentor, and grow engineering teams, fostering technical excellence and continuous learning.
  • Excellent written and verbal communication — articulates complex technical concepts clearly to technical and non‑technical audiences.
  • Active listener who engages effectively with designers, architects, product managers, and end users to understand needs and drive alignment.
  • Strategic thinker who balances short‑term delivery pressure with long‑term technical investment and debt management.
  • Ownership mindset — accountable for outcomes, proactive in driving initiatives forward.
  • Conflict‑resolution and negotiation skills to align diverse perspectives and drive consensus on technical direction.
  • Adaptability and resilience in fast‑paced environments with shifting priorities.
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