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AI-First Java Developer

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Hybrid

AI-First Java Developer

Zycus Infotech

AI-First Java Developer

Skills

Google Cloud PlatformSQL QueriesDockerReactJavaTesting & QAMicroservicesSpring BootKafkaRabbitMQJenkinsAIAWSGitHubKubernetesAzure

2 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

17 October 2026

What they need


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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