Principal Full Stack Engineer

Job Title: Principal Full Stack Engineer

Location: Dallas, TX

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

DevSecOps 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, NoSQL

Responsibilities

Required Skills

Technical

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 executive stakeholders.

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.

AI & Generative AI

Leadership & Soft Skills

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.

Familiarity with Python for scripting, automation, data processing, and backend services.

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.

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.