JAVA developer

Tata Consultancy Services Limited
Chicago, IL, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$110,000.0 - $130,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Spring Security Agile Methodology Artificial Intelligence Cloud Computing Java Platform Enterprise Edition (J2EE) Hibernate (Java) Java Persistence API Spring Framework Knowledge Management Language Modeling Object-Oriented Software Development
+13 more
Scrum Methodology Systems Development Life Cycle Server Administration Software Engineering Enterprise Software Applications Chatbots Spring-mvc Large Language Models Spring-boot Generative AI AI Platforms Programming Languages Microservices

Job description

  • Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and Microservices architecture.
  • Develop and enhance Generative AI-powered solutions such as chatbots, virtual assistants, document intelligence, and knowledge management platforms.
  • Integrate Large Language Models (LLMs) and AI services (Claude) into existing and new applications.
  • Evaluate emerging AI technologies and recommend innovative solutions to improve business processes.
  • Ensure compliance with Responsible AI, data privacy, governance, and enterprise security requirements.
  • Participate in Agile ceremonies, sprint planning, estimation, and delivery activities.
  • Create and maintain technical documentation, architecture diagrams, and operational runbooks

Salary Range- $110,000-$130,000 a year

Requirements

Must Have Technical/Functional Skills

  • Strong expertise in Java 11/17/21 and Object-Oriented Programming (OOP)
  • Hands-on experience with Spring Boot, Spring MVC, Spring Security, and Hibernate/JPA
  • Extensive experience in designing and developing Microservices Architecture
  • Strong understanding of GCP Cloud Platforms
  • Hands-on experience with Generative AI / Large Language Models (LLMs)
  • Understanding of Responsible AI, AI Governance, Security, and Compliance, Agile Programming Methodologies, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Cloud Computing, Conversation Engine, Emerging Technology, Enterprise Applications, Enterprise Protection, GCP (Good Clinical Practices), Hibernate, Java, Java Persistence API (JPA), Java Platform Enterprise Edition (Java EE/J2EE), Knowledge Management, Maintain Compliance, Microservices, Modeling Languages, Object Oriented Programming (OOP), Problem Solving Skills, Process Improvement, Scalable System Development, Software Administration, Software Engineering, Spring Framework, Spring MVC, Sprint Planning, Technical Writing

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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