Senior Full-Stack developer

Tata Consultancy Services Ltd

  • Chicago, IL
  • 16 days ago
  • $110,000–$130,000 Per Year

Highlights

Develop and enhance AI-powered solutions, including chatbots, virtual assistants, document intelligence, and knowledge management platforms using Generative AI and Large Language Models. Design, develop, and maintain scalable, secure, and high-performance full stack applications using Java, Spring Boot, Microservices, and modern frontend technologies such as React.js.

Numbers & Facts

LocationChicago, IL
Salary$110,000–$130,000 Per Year

Description

Role: Engineer

Required Skills: Java

Experience: 6 - 10 Years

Function: TECHNOLOGY

Apply By: 2026-11-27

Senior Full-Stack developer

Must Have Technical/Functional Skills

  • Strong expertise in Java 17+, Spring Boot, Spring Security, Hibernate/JPA, and RESTful Microservices.
  • Hands-on experience with React.js, JavaScript, TypeScript, HTML5, and CSS3.
  • Experience with cloud-native application development on GCP
  • Strong understanding of Microservices, API design, containerization using Docker, and orchestration using Kubernetes.
  • Experience with CI/CD pipelines, Git-based version control, and DevOps practices.
  • Knowledge of SQL and NoSQL databases.
  • Exposure to Generative AI, LLM integration, RAG frameworks, and Responsible AI principles.

Roles & Responsibilities

  • Design, develop, and maintain scalable, secure, and high-performance full stack applications using Java, Spring Boot, Microservices, and modern frontend technologies such as React.js
  • Develop responsive and user-friendly web applications with a strong focus on usability, performance, and accessibility.
  • Design and implement RESTful APIs, microservices, and reusable components following industry's best practices and architectural standards.
  • Collaborate with business stakeholders, product owners, architects, and cross-functional teams to understand requirements and translate them into technical solutions.
  • Build and deploy cloud-native applications on GCP utilizing containerization and orchestration technologies such as Docker and Kubernetes.
  • Integrate enterprise applications with third-party services, APIs, and cloud platforms.
  • Develop and enhance AI-powered solutions, including chatbots, virtual assistants, document intelligence, and knowledge management platforms using Generative AI and Large Language Models
  • Implement and optimize Retrieval-Augmented Generation (RAG) frameworks and AI integrations to improve business processes and user experiences.
  • Ensure application security, data privacy, compliance, and adherence to Responsible AI and enterprise governance standards.
  • Participate in architecture reviews, technical design discussions, code reviews, and solution development activities.

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

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