Lead backend architecture and system design decisions for pricing, promotions, item management, and revenue management services.
Design, develop, and optimize RESTful APIs and microservices using Java and Spring Boot for enterprise-scale throughput and reliability.
Develop event-driven integrations using messaging and streaming systems (Kafka, Solace, Azure Event Hub) for pricing and catalog data distribution.
Optimize database performance across SQL and NoSQL data stores, including schema design, query tuning, and indexing strategies.
Implement caching strategies and distributed system patterns (Redis, CDN, circuit breakers) to maximize system performance.
Ensure system reliability, security, and compliance with enterprise standards across all backend services.
Mentor junior and mid-level backend engineers and foster a culture of technical excellence and engineering best practices.
Drive automated testing strategy and CI/CD pipeline improvements to reduce release risk and accelerate delivery.
Contribute to technical roadmaps, aligning backend engineering priorities with business objectives.
Identify performance bottlenecks and lead optimization efforts across services, APIs, and data pipelines.
Stay current with emerging backend technologies and evaluate their applicability to the platform.
Leverage AI-assisted development tools (GitHub Copilot, AI code assistants, AI-driven testing) to accelerate development velocity, improve code quality, and act as a force multiplier across the team.
Requirements
Years of Experience :
6+ years of professional backend development experience with Java, Spring Boot, and microservices.
2+ years of experience designing and operating distributed systems in a production enterprise environment.
