Software Engineer (Java+Spring+Spring Boot+ Microservices +JPA/ Hibernate +Agentic AI

 Posted 19 hours ago
  
 India
  
2-5 years experience
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AI Summary

Design and implement scalable microservices using Java and Spring Boot while leveraging AI coding agents to increase development velocity. Collaborate across cross-functional teams in an Agile environment to deliver end-to-end commerce features.

About This Role

We are looking for a proactive and independent Mid-Level Software Engineer with strong backend engineering skills in Java to join our engineering team. In this role, you will take end-to-end ownership of features across our Java-based microservices platform, contribute to the full product lifecycle, and be an active AI power user — leveraging modern AI coding agents to deliver high-quality software at velocity. You will work with a collaborative, globally distributed team of engineers passionate about building scalable commerce solutions.

About Kibo Commerce

Kibo Commerce is a composable digital commerce platform for B2C, D2C and B2B organizations who want to simplify the complexity in their businesses and deliver modern customer experiences. We are the only modular, modern commerce platform that supports experiences spanning eCommerce, Order Management, and Subscriptions. Merchants like Zwilling, Ace Hardware, Jelly Belly, and Francesca’s trust Kibo to bring simplicity and sophistication to commerce operations and deliver experiences that drive value.

Kibo’s expertise and cutting-edge innovation has been recognized by Forrester, Gartner, Internet Retailer, and TrustRadius. By joining Kibo, you will be part of a team of Kibonauts all over the world in a remote-friendly environment, tackling challenges together with trust, a growth mindset, and customer obsession.

What You’ll Do

  • Feature Ownership: Independently design and implement scalable, resilient microservices using Java and the Spring Boot ecosystem, following established architectural goals and product objectives.

  • AI Coding Assistants: Systematically use AI coding agents (Cursor, GitHub Copilot, etc.) to optimize development velocity, automate testing, and assist in complex refactoring. You are expected to stay current on emerging AI methodologies and tools, and to demonstrate how AI meaningfully increases your output and code quality.

  • Agile Collaboration: Work within Agile software lifecycle methodologies including daily standups, sprint planning, code demonstrations, and retrospectives. Collaborate across product management, UX, QA, support, and professional services teams through the full product lifecycle.

  • Database & Performance: Architect efficient schemas across both relational (MySQL) and document-oriented (MongoDB) databases. Implement advanced caching and state management strategies using Redis to ensure high-throughput performance.

  • API & Integration Development: Build and maintain RESTful APIs within a microservices architecture. Design event-driven integrations to ensure system decoupling, reliability, and observability at scale.

  • Code Quality & Mentorship: Lead by example with clean, well-tested, maintainable code. Participate in and lead peer code reviews. Assist in onboarding and guiding earlier-career engineers.

  • Testing & Quality: Apply test-driven development (TDD) practices. Write and maintain unit, integration, and performance tests to fully test and regress software.

  • Problem Solving: Proactively identify system bottlenecks, propose architectural improvements, and break down complex requirements into well-scoped, independent development tasks.

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