Lead the architecture and evolution of scalable, high-performance Java backend systems for personalisation, including data ingestion, profile management, recommendation services, and dynamic content delivery.
Utilize frameworks like Spring Boot, Apache Kafka for messaging, and RESTful API as well as Backend-for-Frontent (GraphQL) design principles.
Drive cross-functional initiatives to integrate modern personalisation technologies, such as real-time behavioral analytics and A/B testing frameworks, using Java-based APIs and microservices.
Define strategies to enhance the performance, reliability, and observability of personalisation services, ensuring low-latency, high-availability systems through Java optimizations and monitoring tools like Micrometer or Prometheus.
Design and implement Java frameworks for evaluating personalisation effectiveness through both offline metrics and live A/B experimentation.
Champion engineering best practices in Java development and mentor engineers across teams, raising the bar for code quality and system design.
Shape long-term technical direction by staying ahead of trends in distributed systems, Java ecosystem advancements, and personalisation technologies—and bringing these innovations into production.
Requirements
Degree in Computer Science, Engineering, or a related technical field.
8+ years of experience in developing large-scale java systems.
Extensive hands-on experience working with content from personalisation and recommendation engines.
Familiarity with technologies such as Apache Beam, Pub/Sub, and other large-scale data processing frameworks crucial for personalisation at scale.
Expertise in backend development, with knowledge of Scala or Golang a plus, to build robust and efficient recommendation systems.
Proficiency with both SQL and NoSQL databases, to manage and query data for personalized experiences.
Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP, AWS), using Kubernetes, Docker, CI/CD, and observability tools.
Proven ability to influence engineering direction across teams and functions.
Strong communication skills and the ability to align diverse technical stakeholders around a cohesive vision.
Applicant Tracking System Keywords
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