This is a full-time opportunity with our client, a leading product-based logistics technology company building next-generation digital solutions for global supply chain and transportation operations. The organization focuses on delivering scalable, secure, and technology-driven platforms that enhance operational efficiency, visibility, and customer experience across the logistics ecosystem.

Job Overview

The primary responsibility is to develop high-quality, scalable software solutions as a contributing member of a highly motivated Agile engineering team. This role will leverage modern AI-assisted developer tools to improve productivity, code quality, and engineering velocity.

You Will

• Develop scalable, maintainable, and reusable software components aligned with functional and non-functional requirements.
• Utilize AI-powered development tools such as GitHub Copilot, Cursor, and similar assistants to improve development efficiency, code quality, and test automation.
• Troubleshoot and resolve application defects, performance issues, and system failures through effective debugging and observability practices.
• Implement code reviews, automated testing, and quality checks to enhance software reliability, security, and performance.
• Contribute to engineering best practices, technical documentation, and continuous improvement initiatives across development workflows.
• Participate in Agile activities including sprint planning, backlog grooming, estimation, and delivery execution.
• Collaborate with Product, Security, Platform, and cross-functional engineering teams while mentoring peers on modern software engineering practices.

You Have

• Bachelor’s degree in Computer Science or a related field with 4–6 years of software development experience.
• Strong hands-on experience with Java, JEE, Spring Boot, REST APIs, and React.
• Good understanding of multithreading, messaging systems, asynchronous processing, and web service frameworks.
• Experience with application servers such as Tomcat, JBoss, WebSphere, or similar technologies.
• Hands-on exposure to AI-powered development tools like GitHub Copilot, Cursor, or similar AI coding assistants.
• Experience with Agile/Scrum methodologies, CI/CD pipelines, automated testing, and modern engineering practices.
• Strong communication, collaboration, problem-solving, and mentoring skills.

Preferred Qualifications

• Experience with secure coding practices, accessible web applications, and multiple SDLC models.
• Familiarity with development tools such as Jira, Jenkins, Git, and JUnit.
• Exposure to AI-driven DevOps, AIOps, or intelligent monitoring solutions is a plus.
• Lean / Six Sigma or Continuous Improvement certifications are an added advantage.