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Work with backend APIs to fetch, update, validate, and manage application data. * Contribute to ... Full stack engineers whose strongest instincts are frontend, mobile, and user experience * Builders ...
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Sr. Java Full Stack Developer (React)
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$48.50 - $62.50/hr
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Backend Full Stack Engineer information
See The Colony, TX salary details
$41.3K - $53.6K
1% of jobs
$53.6K - $65.9K
3% of jobs
$65.9K - $78.2K
4% of jobs
$78.2K - $90.5K
5% of jobs
$90.5K - $102.8K
11% of jobs
$103.5K is the 25th percentile. Wages below this are outliers.
$102.8K - $115.1K
15% of jobs
The median wage is $123.2K / yr.
$115.1K - $127.4K
17% of jobs
$127.4K - $139.7K
17% of jobs
$142K is the 75th percentile. Wages above this are outliers.
$139.7K - $152K
13% of jobs
$152K - $164.3K
9% of jobs
$164.3K - $176.7K
5% of jobs
$41.3K
$125K
$176.7K
How much do backend full stack engineer jobs pay per year?
What is a backend full stack engineer?
How does a backend full stack engineer typically collaborate with frontend developers and other team members?
What are the key skills and qualifications needed to thrive as a backend full stack engineer?
What is the difference between Backend Full Stack Engineer vs Frontend Developer?
| Aspect | Backend Full Stack Engineer | Frontend Developer |
|---|---|---|
| Primary Focus | Developing server-side logic, databases, and APIs | Designing and implementing user interface and client-side features |
| Required Skills | Programming languages like Python, Java, Node.js; databases; server management | HTML, CSS, JavaScript; frameworks like React or Angular |
| Work Environment | Often involved in both front-end and back-end tasks, collaborating across teams | Primarily focused on client-side development, UI/UX design |
While both roles require strong programming skills, Backend Full Stack Engineers handle both server-side and client-side development, whereas Frontend Developers focus mainly on creating engaging user interfaces. Understanding these differences helps employers and job seekers target the right skills and responsibilities for each role.

Full-time
Posted 26 days ago
Job description
Job Role: Principal Full-Stack Engineer
Location: Richardson, TX (Hybrid - Onsite) - Non local accepted (Needed 100% confirmation from Candidate on Relocation)Contract: Contract Role
Interview Process: Client Face-to-Face Interview (Final Level)
Flight ticket reimbursement will be provided for candidates attending the client face-to-face interview.
About the Role
We are hiring a Principal Full-Stack Engineer to design, build, and operate scalable enterprise applications on a modern Java, Python, and ReactJS 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: ReactJS, Python, Java 17+, Microservices, AWS/Azure, RDBMS, NoSQL, LLM , Oauth.2
Responsibilities
- Own architecture decisions and drive engineering excellence on a modern Java, Python, and
ReactJS 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.
Required Skills
- 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 ReactJS, Bootstrap, and Node.js.
- Strong hands-on proficiency with Python for scripting, automation, data processing, and backend services.
- Proven ability to build responsive, intuitive user interfaces and translate UI/UX mockups into production-ready experiences.
- 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, ensuring compliance 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.
- Experience participating in Agile ceremonies and managing work and releases through Jiraand Azure DevOps.
- Hands-on experience with Agile methodologies and DevOps culture across the softwaredelivery lifecycle.
AI & Generative AI
- Practical experience integrating Large Language Models into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).
- Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Experience integrating AI capabilities - LLMs, embeddings, RAG pipelines, agentic workflows - into existing applications and new product features.
- Experience collaborating with data science and ML teams to operationalize models, build evaluation pipelines, and deploy production-ready AI services.
- 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.
- Experience driving architectural decisions and setting technical direction across cross- functional teams.
- Strong stakeholder management - translates business requirements into scalable technical solutions and explains trade-offs to product, design, and executive stakeholders.
- Track record of leading end-to-end delivery of complex projects, from design through deployment.
- 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.
Good to Have
- Hands-on experience with Palantir Foundry - building pipelines, ontologies, and data- driven applications.
- Familiarity with Palantir's development tooling: PySpark transforms, TypeScript-based Functions, and Workshop.
- Exposure to enterprise-scale data integration and operational analytics workflows built on Palantir.
- Exposure to AI/ML frameworks and tooling such as LangChain, LlamaIndex, or Hugging Face.
- Ability to identify and apply AI-driven solutions to real-world business problems and integrate them into enterprise applications.