Java Full Stack Developer

Overview of the requirement:

Were seeking a Mid-Senior Software Engineer with deep experience in designing and building scalable, high-performance systems using Java, Spring Boot, Angular/React, and cloud-native architectures. This role will play a key part in driving the technical direction for our enterprise merchandising and pricing platforms, helping to shape system architecture, streamline distributed workflows, and lead the development of robust, enterprise-grade solutions.

You’ll work closely with engineering, product, and business teams to deliver highly responsive, secure, and maintainable applications that power pricing, promotions, item management, and revenue optimization. We’re seeking someone who can operate both strategically and hands-on — someone who enjoys rolling up their sleeves to solve hard problems, while also influencing long-term platform decisions.

Duties & Responsibilities

• Provide technical leadership and drive the design, development, and delivery of scalable applications supporting merchandising, pricing, and revenue management workflows.
• Lead the design and optimization of microservices, RESTful APIs, and distributed systems for performance, resiliency, and scalability across the pricing and merchandising platform ecosystem.
• Define and enforce architecture standards, coding practices, and technical guidelines across the team.
• Collaborate with Product Managers, Revenue Management, and Merchandising operations teams to ensure alignment of technical solutions with business needs.
• Oversee code quality through reviews, automated testing, performance tuning, and CI/CD practices.
• Mentor and guide software engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Actively participate in system design reviews, architecture discussions, and capacity planning for the platform’s evolution.
• Drive the modernization of legacy merchandising and pricing systems into cloud-native, API-first architectures in Azure.
• Stay current with emerging technologies and drive the adoption of tools and practices that enhance productivity and system performance.
• Coordinate with US-based engineering leadership on priorities, sprint planning, and cross-team dependencies.
• Drive adoption of AI-assisted development tools (GitHub Copilot, AI code assistants, AI-driven testing) across the team to accelerate velocity, improve code quality, and embed an AI-native SDLC mindset as standard engineering practice.