Java Full Stack Developer Lead

NTT DATA, Inc.; Bengaluru; Hybrid; INR 4,500,000 - 6,500,000; Full time

Job summary

NTT DATA, Inc. seeks an hands-on Java Tech Lead to drive technical design and development of scalable applications while remaining deeply involved in coding. The role spans full-stack work with Java/Spring Boot on the backend and React/Angular on the frontend, plus AI-enabled software engineering practices.

The ideal candidate will lead architecture reviews, mentor teams, and implement robust automated testing and DevOps practices in a cloud-native environment.

Qualifications

• 10–15+ years of software engineering experience with hands-on Java development.
• Strong experience in Java/Spring Boot and microservices.
• Proven full-stack development experience with React or Angular.
• Experience using AI tools to enhance SDLC and developer productivity.
• Knowledge of cloud-native practices and DevOps tooling.

Responsibilities

• Lead the technical design and development of complex enterprise applications.
• Define architecture, design patterns, and engineering practices.
• Mentor developers and drive engineering standards across the team.
• Develop and maintain RESTful APIs and microservices.
• Own frontend design with React/Angular; ensure UI/API stack coherence.
• Drive automated testing, code reviews, and performance tuning.

Skills

Java development

Spring Boot

Microservices

Full-Stack development

REST APIs

React/Angular

TypeScript/JavaScript

Cloud basics

AI in SDLC

Technical leadership

Tools

Docker

Kubernetes

Git

Jenkins

GitHub Actions

GitLab CI

Terraform

Job description

We are looking for a hands-on Java Tech Lead who can lead the technical design and development of modern, scalable applications while remaining deeply involved in coding and engineering activities.

The ideal candidate will have strong expertise across the Full-Stack, with Java/Spring Boot on the backend and modern JavaScript/TypeScript frameworks such as React or Angular on the frontend.

The candidate should also have practical experience using Generative AI and AI-assisted software engineering tools to improve developer productivity, software quality, automation, and engineering velocity.

Key Responsibilities

1. Technical Leadership

• Lead the technical design and development of complex enterprise applications.
• Define application architecture, design patterns, coding standards, and engineering practices.
• Make pragmatic technology and architecture decisions balancing scalability, maintainability, security, performance, and time-to-market.
• Conduct architecture/design reviews and provide technical direction to development teams.
• Identify and resolve complex technical issues and production problems.
• Mentor developers and establish strong engineering practices across the team.

2. Hands-on Full-Stack Development

• Develop and maintain scalable applications using Java and Spring Boot.
• Build RESTful APIs and microservices.
• Design and implement frontend applications using React / Angular / TypeScript / JavaScript.
• Work across the complete application stackfrom UI and APIs to databases, messaging, and cloud infrastructure.
• Participate actively in coding, debugging, refactoring, and performance optimization.
• Perform detailed code reviews and ensure adherence to engineering standards.
• Design and implement automated unit, integration, API, and end-to-end testing.

3. Java & Backend Engineering

Strong hands-on experience with:

• Java 11/17/21+
• Spring Boot
• Spring Framework / Spring Security
• REST APIs
• Microservices architecture
• JPA / Hibernate
• SQL and relational databases
• NoSQL databases
• Kafka or other event-driven/messaging technologies
• Multithreading and concurrency
• JVM performance tuning
• Distributed systems
• API security, authentication, and authorization

4. Frontend Engineering

Hands-on experience with one or more modern frontend ecosystems:

• React / Angular
• TypeScript
• JavaScript
• HTML5 / CSS3
• REST/API integration
• State management
• Responsive web application development
• Frontend testing frameworks

The candidate should be comfortable troubleshooting issues across the UI API service database stack.

5. AI-Based Software Engineering

The candidate should understand and demonstrate practical adoption of AI across the Software Development Lifecycle (SDLC).

Experience with tools such as GitHub Copilot, Claude, ChatGPT, Gemini, Amazon Q Developer, or equivalent AI engineering tools is desirable.

The candidate should be able to demonstrate how AI can be integrated into engineering workflows rather than simply using AI as a coding assistant.

6. Cloud & DevOps

Experience with modern cloud-native engineering practices:

• AWS / Azure / GCP
• Docker
• Kubernetes
• CI/CD
• Git
• Jenkins / GitHub Actions / GitLab CI / Azure DevOps
• Infrastructure as Code
• Observability and monitoring
• Logging and distributed tracing

Experience deploying and operating microservices in a cloud environment is highly desirable.

8. Software Architecture

• Microservices
• Domain-Driven Design
• SOLID principles
• Design patterns
• Event-driven architecture
• Distributed systems
• API-first architecture

Ability to translate business requirements into robust technical solutions and architecture.

Required Skills

Must Have

• 10–15+ years of software engineering experience.
• Strong hands-on Java development experience.
• Strong Spring Boot / Microservices experience.
• Hands-on Full-Stack development experience.
• Experience with React or Angular.
• Strong knowledge of REST