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Java Backend developer

Weekday AI (YC W21)
Bengaluru, IND
Full-time
Associate
Onsite
Discovered 1 weeks ago
Java backend developmentCore JavaJ2EESpring BootMicroservices architectureRESTful APIs
Free

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Java backend developmentCore JavaJ2EE
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Role Details

This role is for one of Weekday AI's clients.

The position is a full-time Java Backend Developer role.

The stated experience requirement is 5+ years.

The stated salary range is INR 8-20 LPA.

Location

  • The listed role locations are Pune and Bengaluru, Karnataka, India.

Role Overview

The role designs, develops, and maintains scalable backend applications and microservices.

The position requires expertise in Core Java, J2EE, Spring Boot, REST APIs, databases, and cloud-native technologies.

The ideal candidate understands backend architecture and builds high-performance, reliable, and maintainable services.

Key Responsibilities

  • Design, develop, and maintain Java backend applications using Core Java, J2EE, and Spring Boot.
  • Develop scalable microservices-based architectures and high-performance RESTful APIs.
  • Implement persistence with Hibernate/JPA and write optimized SQL queries for relational databases.
  • Containerize applications with Docker and support Kubernetes deployments.
  • Troubleshoot, debug, and optimize backend services and resolve performance, scalability, and reliability issues.
  • Write maintainable reusable code, develop unit tests, and participate in code reviews.
  • Collaborate with cross-functional engineering teams throughout development.
  • Improve backend practices, architecture, and deployment processes.

Required Qualifications

  • At least 5 years of professional experience in Java backend development.
  • Strong proficiency in Core Java and J2EE.
  • Hands-on experience with Spring Boot and enterprise application development.
  • Practical experience with microservices architecture and RESTful API development.
  • Hands-on experience with Hibernate/JPA and data persistence frameworks.
  • Strong SQL and relational database knowledge, including complex optimized queries.
  • Hands-on experience with Docker and Kubernetes.
  • Understanding of backend architecture, scalability, performance, troubleshooting, testing, and code quality.
  • Ability to work collaboratively in a fast-paced engineering environment.

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