Lead the design, development, and modernization of scalable full-stack applications for enterprise merchandising, pricing, and revenue platforms. Responsibilities include architecting microservices, REST APIs, distributed and event-driven systems, establishing engineering standards, optimizing performance, overseeing testing and CI/CD, mentoring engineers, and driving Azure cloud adoption. The role partners with product and business teams, supports strategic platform decisions, and promotes AI-assisted development tools across the software development lifecycle.
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.
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.
- 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.
Preferred Qualifications
- 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.
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