Principle Java Full Stack Engineer (Lead)

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.