Java AI-Native FullStack Engineer

Responsibilities

• Develop and maintain frontend and backend platform capabilities
• Build secure, scalable, cloud-native applications
• Participate in architecture discussions, design reviews, code reviews, and production support
• Use AI-native development practices to improve productivity, delivery speed, and quality
• Create automated test coverage and technical documentation
• Collaborate with product, architecture, security, and platform teams
• Support integration with enterprise systems and services
• Contribute to monitoring, troubleshooting, and the continuous improvement of engineering practices

Requirements

• Strong experience as a Full Stack Engineer building cloud-native applications with Java, Spring Boot, React, TypeScript, Next.js, and Node.js.
• Hands-on experience designing and developing REST APIs, microservices, and responsive, accessible user interfaces.
• Solid knowledge of SQL and NoSQL databases, such as PostgreSQL and MongoDB.
• Experience with AWS services, Docker, CI/CD pipelines, GitHub Actions, and Infrastructure as Code, preferably with Terraform.
• Strong understanding of OAuth/OIDC, JWT authentication, secure coding practices, API integrations, and enterprise integration patterns.
• Daily use of AI development tools such as GitHub Copilot, Cursor, Claude Code, or equivalent tools as part of the software delivery workflow.
• Experience with AI-assisted coding, testing, debugging, documentation, and prompt engineering.
• Experience in LMS, EdTech, AI-powered products, skills assessment platforms, simulation-based learning, or enterprise SaaS solutions is a plus.