Full-Stack Developer (25242)

Who We Are:

Yael Group is a leading group of companies in the Israeli market, providing advanced technological solutions across a wide range of domains to organizations in all sectors.

Technology Stack:

• Java 21 & Spring Boot
• Angular (Signals) & TypeScript
• PostgreSQL & Flyway
• Claude Code
• Azure Cloud
• Azure DevOps, Docker, CI/CD

Responsibilities:

• Design, develop, and implement end-to-end features (Backend and Frontend).
• Work daily with AI-powered development tools (such as Claude Code) to accelerate development processes while maintaining high code quality.
• Review and validate AI-generated code, identify complex issues, and ensure high-quality, production-ready code.
• Develop scalable, secure, and multi-tenant systems while ensuring reliability and accuracy.
• Participate in architecture design, perform code reviews, and develop in a CI/CD environment.

Job Requirements:

• Significant experience developing with Java / Spring Boot and Angular / TypeScript.
• Proven experience integrating AI-powered development tools (such as Claude Code or GitHub Copilot) into the daily development workflow to accelerate software development.
• Strong understanding of relational databases, JPA/Hibernate, transaction management, authentication mechanisms, and REST APIs.
• Experience working with PostgreSQL and Flyway.
• Strong code review, debugging, and critical thinking skills, with an emphasis on reviewing, validating, and improving AI-generated code rather than relying on it blindly.
• Ability to validate solutions through testing, not solely based on AI-generated code.
• Experience working with Git, Docker, Pull Requests, and CI/CD processes.
• Excellent communication skills and the ability to translate business requirements into high-quality technological solutions.

Significant Advantage:

• Experience with Azure, including Container Apps, Entra ID, Key Vault, Blob Storage, Bicep, and Azure Pipelines.
• Experience developing enterprise SaaS systems or Multi-Tenant systems.
• Familiarity with Large Language Models (LLMs), AI-assisted development, or integrations with AI tools.
• Full professional proficiency in English.