Java Fullstack

Position: Lead Full Stack Engineer
Location: Richardson, TX ( Hybrid)
Duration: 12+ Months Contract
Interview: F2F/In Person/Onsite

GC-EAD, -EAD on W2

Mandatory Skills : Microservices, Spring Boot, React

Good to Have Skills : AWS Cloud Architecture, Azure Cloud Architecture, MongoDB, Python

Overview

We are looking for a seasoned Full Stack Engineer with substantial hands-on experience across modern technology stacks. The ideal candidate should demonstrate a collaborative approach, working effectively with cross-functional teams. In this role, the engineer will introduce, champion, and implement the latest tools and frameworks, driving engineering excellence throughout the organization.

Key Responsibilities

• Design and develop high-quality, production-grade code, adhering to industry best practices, coding standards, and architectural principles.
• Contribute individually to major development efforts and play a critical role in mentoring and training junior developers.
• Guide junior team members through code reviews and knowledge-sharing workshops, accelerating their learning and strengthening their technical foundation.
• Foster a culture of continuous learning within the team.

Must Have Technologies

• ReactJS
• Java 17
• Microservices
• AWS / Azure
• RDBMS
• NoSQL

Core Technical Skills

• At least 12 years of hands-on software development experience, with deep expertise in modern Java Full Stack development.
• Strong command over Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.
• Proven ability in building single-page web applications using ReactJS, Bootstrap, and Node.js.
• Experience in designing, developing, and deploying cloud-based architectures on AWS, Azure, or equivalent platforms.
• Expertise in developing Java and Spring Boot applications backed by relational databases such as SQL Server and PostgreSQL, as well as NoSQL databases like MongoDB and Elasticsearch.
• Practical experience integrating Large Language Models (LLMs) into applications via APIs, for example, OpenAI, Anthropic Claude, Azure OpenAI, or 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 implementation of guardrails.
• Strong experience in developing production applications, data processing scripts, automation tooling, or backend services in Python.
• Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.
• Proficiency in designing and building RESTful APIs and web services according to industry best practices.
• Advanced SQL development skills, including query optimisation and performance tuning.
• Experience with modern testing frameworks like Jest, Mocha, and Chai, with a commitment to test-driven development.
• Solid grasp of frontend architecture principles and data-driven UI development.
• Ability to write clean, efficient, and maintainable code, consistently following coding standards and best practices.
• Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.

Leadership and Soft Skills - Mandate

• Demonstrated ability to lead, mentor, and nurture engineering teams, fostering a culture of technical excellence and continuous learning.
• Experience in driving architectural decisions and setting technical direction for cross-functional teams.
• Strong stakeholder management skills, with the capacity to translate business requirements into scalable technical solutions.
• Proven track record in leading end-to-end delivery of complex projects, from design through deployment.
• Effective communication skills, capable of articulating technical concepts clearly to both technical and non-technical audiences.
• Expertise in conducting code reviews, establishing engineering best practices, and elevating code quality across the team.
• Skilled in collaborating with product managers, designers, and business stakeholders to align engineering initiatives with organisational objectives.
• Experience coaching junior engineers, conducting performance reviews, and contributing to hiring and talent development strategies.
• Strategic mindset to balance short-term delivery demands with long-term technical investments and management of technical debt.
• Ownership mentality, taking accountability for outcomes and proactively driving initiatives forward.

Desirable Skills

• Hands-on experience with Palantir Foundry, including building pipelines, ontologies, and data-driven applications.
• Familiarity with Palantir’s development tooling, such as PySpark transforms and TypeScript-based Functions Workshop.
• Exposure to enterprise-scale data integration and operational analytics workflows built on Palantir.
• Experience with AI/ML frameworks and tools such as LangChain, LlamaIndex, Hugging Face, or their equivalents.
• Ability to identify and implement AI-driven solutions to solve real-world business challenges and integrate them into enterprise applications.