JAVA developer
Tata Consultancy Services Limited
Chicago, IL, United States
5 days ago
- Discuss this with your agent
- Open in Claude
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Prepare application
- Draft this with your agent
- Open in Claude
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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
Job source
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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- Draft this with your agent
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