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Popular fullstack role, broad skillset, and global brand increase candidate density and competition.
Core fullstack and microservices skills are transferable, but personalization and ML integrations favor consumer backgrounds.
Explicit 7+ years plus mandatory Java/Spring, distributed systems and Kafka experience creates strict filters.
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Design, build, and maintain scalable, resilient backend services and web applications powering personalisation and recommendation capabilities in digital consumer experiences.
Develop production-grade APIs, model-serving and inference integration layers focused on low-latency and high-volume use cases with event-driven and distributed systems patterns.
Lead technical design discussions, ensure production readiness through observability and reliability practices, and mentor junior engineers within a multi-disciplinary team.
7+ years experience designing and building scalable, resilient microservices and web applications in modern cloud environments.
Strong hands-on experience with Java and Spring Boot for backend development; frontend development experience with React strongly preferred.
Experience with event-driven architecture using Kafka or similar technologies; solid understanding of distributed systems fundamentals.
Work Experience Required: 7+ years
Experienced full-stack engineer with a strong background in scalable microservices and distributed system design, proficient in Java/Spring Boot and React.
Comfortable working closely with AI/ML engineers and data teams to integrate model serving and recommendation systems.
Proven ability to lead technical design, mentor engineers, and deliver production-ready services with strong operational practices in consumer digital or eCommerce domains.