Job Description

We're seeking a Lead 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.

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 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

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.

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