Lead Engineer - Fullstack

• 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.
  
• Design, build, and optimize event -driven integrations using messaging platforms such as Kafka, Solace, or Azure Event Hub for real -time pricing and catalog data distribution.
  
• 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 on 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.
  

Requirements

• 8+ years of full stack development experience with emphasis on Java, Spring Boot, and Angular or React.
  
• 4+ years designing distributed, event -driven systems in cloud environments.
  
• Hands -on experience working in cloud environments (Azure preferred; AWS or GCP acceptable).
  

• Proficiency with microservices, REST APIs, message queues, and streaming technologies.
  
• Experience with relational databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (Couchbase, MongoDB, Redis).
  
• Proven experience building scalable, distributed applications in an enterprise environment.
  
• Strong background in CI/CD pipelines, automated testing, DevOps practices, and performance optimization.
  
• Strong knowledge of API security, identity management, and performance tuning.
  
• Demonstrated ability to work in Agile teams and deliver high -quality software on time.
  
• Passion for clean code, system optimization, and simplifying complex problems.
  
• AI -native SDLC mindset — proven ability to leverage AI -assisted development tools (GitHub Copilot, AI code assistants) as a force multiplier, and drive their adoption across the team.
  

• Prior experience in retail, eCommerce, or B2B commerce technology — particularly in pricing, promotions, or merchandising domains.
  
• Experience with pricing engines, rules engines, or revenue management platforms.
  
• Familiarity with product information management (PIM) systems such as Stibo STEP or similar MDM platforms.
  
• Experience with Micro Frontends, headless commerce platforms, or API gateways.
  
• Exposure to data pipelines and ETL processes for product and pricing data distribution.
  
• Experience in test -driven development and continuous integration practices.
  
• Understanding of the technology landscape; stays up to date on current trends and brings new ideas to the team.