Z4_FS Developer

NTT DATA, Inc.

Bengaluru

Vor Ort

INR 3.500.000 - 5.200.000

Vollzeit

vor 36 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

NTT DATA is seeking a hands-on Java Tech Lead in Bangalore to drive technical design and develop scalable enterprise applications. You will lead backend with Java/Spring Boot and frontend with React/Angular, while actively coding and guiding the team.

We expect 9–12 years of software engineering experience, strong full-stack skills, and practical AI tooling experience to boost productivity and quality across the SDLC; remote/hybrid options may apply depending on client needs.

Qualifikationen

  • 9–12 years of software engineering experience.
  • Strong hands‑on Java development experience.
  • Strong Spring Boot / Microservices experience.
  • Hands‑on Full‑Stack development experience.

Aufgaben

  • Lead architectural design and reviews for complex enterprise apps.
  • Develop and maintain scalable Java/Spring Boot services and REST APIs.
  • Design frontend components with React/Angular and ensure API integration across UI and services.
  • Mentor developers and enforce engineering standards across the team.

Kenntnisse

Java development
Spring Boot
Microservices
Full-stack
React/Angular
AI tooling
REST APIs
Cloud

Jobbeschreibung

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Z4_FS Developer to join our team in Bangalore, Karnataka (IN-KA), India (IN).

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. 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. 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 stack—from 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:
    • 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:
    • React / Angular
    • TypeScript
    • JavaScript
    • HTML5 / CSS3
    • REST/API integration
    • State management
    • Responsive web application development
    • Frontend testing frameworks
  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
  7. Software Architecture:
    Strong understanding of:
    • 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
  • 9–12 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
About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

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