Lead Engineer - Fullstack - (SB-NS)

Lead Engineer - Fullstack - (SB-NS) - J50355

Role & responsibilities

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.
• 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 platforms 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
Years of Experience

• 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).

Basic Qualifications

• 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.