AI-First Java Developer

Zycus Infotech

Bengaluru

Híbrido

INR 1 200 000 - 2 400 000

Tempo integral

Há 10 dias

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Resumo da oferta

Zycus Infotech in Bengaluru seeks an AI-native Java Developer to design, build, and deploy backend services using Spring, Spring Boot, and microservices. You will integrate front-end with back-end systems, work with REST APIs, JWTs, and cloud deployments across AWS/Azure/GCP, while leveraging AI coding tools to boost productivity.

The role emphasizes collaboration in an Agile environment, code reviews, testing, and CI/CD to deliver robust, scalable solutions.

Qualificações

  • 3–8 years of hands-on Java development experience.
  • Strong Spring Framework and Spring Boot proficiency with microservices.
  • Front-end experience with Angular or React.
  • Experience with REST APIs, JSON, and JPA/Hibernate.
  • Familiarity with CI/CD pipelines and cloud platforms.
  • AI coding tools usage to optimize development workflows.

Responsabilidades

  • Design, develop, and deploy scalable Java backend services using Spring and microservices.
  • Integrate front-end and back-end systems for seamless data exchange.
  • Work with REST APIs, JWT authentication, and cloud deployments (AWS/Azure/GCP).
  • Leverage Generative AI tools to optimize coding, debugging, and documentation.
  • Collaborate with DevOps, QA, Product, and UX in Agile/Scrum.
  • Participate in code reviews, unit testing, and CI/CD pipelines.
  • Stay updated on AI-assisted software development best practices.

Conhecimentos

Java
Spring Framework
Spring Boot
Microservices
Frontend: Angular/React
REST APIs
JSON
JPA/Hibernate
SQL/NoSQL databases
CI/CD
Cloud platforms
AI coding tools
Debugging

Ferramentas

Docker
Kubernetes
Kafka
RabbitMQ
GitHub Copilot

Descrição da oferta de emprego

We are launching a high-intensity hiring challenge to identify the next generation of AI Native Java Developers engineers who dont just write code, but know how to collaborate with AI to build production-grade systems faster and smarter.

If you use tools like Cursor, GitHub Copilot, Claude, ChatGPT, Windsurf, or other AI coding assistants as part of your daily workflow, this hiring drive is designed for you.

Key Responsibilities:
  • Design, develop, and deploy scalable, secure, and maintainable Java-based backend services using Spring, Spring Boot, and Microservices architecture.
  • Integrate front-end and back-end systems, ensuring seamless data exchange and user experience.
  • Work with REST APIs, JWT authentication, and cloud-based deployment environments (AWS, Azure, or GCP).
  • Use Generative AI tools (Cursor AI, Groq, GitHub Copilot, ChatGPT, etc.) to optimize coding workflows, debugging, and documentation.
  • Collaborate with cross-functional teams (DevOps, QA, Product, UX) in an Agile/Scrum environment.
  • Participate in code reviews, unit testing, and continuous integration/delivery (CI/CD) pipelines.
  • Stay updated on emerging technologies and best practices in AI-assisted software development.
Required Skills & Experience
  • 3-8 years of hands‑on experience in Java development.
  • Strong proficiency in Spring Framework, Spring Boot, and Microservices architecture.
  • Front‑end experience with Angular (v10+) or React (v17+).
  • Experience with REST APIs, JSON, JPA/Hibernate, and SQL/NoSQL databases.
  • Knowledge of CI/CD pipelines (Jenkins, GitHub Actions, or similar).
  • Experience working with cloud platforms (AWS / Azure / GCP).
  • Demonstrated use of AI coding tools such as Cursor AI, GitHub Copilot, Groq, ChatGPT, or others to automate or enhance development.
  • Strong debugging and analytical skills with a focus on performance optimization.
Preferred Qualifications
  • Exposure to Docker, Kubernetes, and containerized deployments.
  • Understanding of event‑driven architectures (Kafka, RabbitMQ).
  • Familiarity with Test‑Driven Development (TDD) or Behavior‑Driven Development (BDD).
  • Contributions to open‑source projects or AI‑assisted coding communities.
Why Join Us
  • Work on cutting‑edge applications powered by AI‑assisted development workflows.
  • Collaborate with a forward‑thinking engineering team that values innovation and continuous learning.
  • Access to premium AI development tools to boost productivity and code quality.
  • Competitive compensation, flexible work arrangements, and opportunities for career advancement
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