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We are launching a brand-new initiative to build a new, modern global Logistics Forecasting Service. This isn't about maintaining legacy systems; it's about building a high-performance, greenfield platform from the ground up that predicts logistics demand and capacity across diverse international markets. As a Senior Java Engineer, you won't just be writing tickets; you will own features end-to-end. You'll leverage the latest in Java and AI-driven insights to build a service that is as scalable as it is intelligent.
Job Responsibility:
Greenfield Development: Design and implement a scalable forecasting engine using modern Java (21+) and the latest cloud-native frameworks
Feature Ownership: Lead specific initiatives and features from initial architectural design to deployment and monitoring
AI Integration: Collaborate on the implementation of AI/ML models within the logistics pipeline to enhance predictive accuracy
Event-Driven Architecture: Build high-throughput messaging systems using Kafka to handle real-time market data and forecasting events
Cross-Market Scalability: Ensure the service is designed for multi-tenancy and can adapt to the unique logistical nuances of different global markets
Requirements:
Modern Java: Deep expertise in Java (21+) and the Spring Boot ecosystem
Data & Messaging: High proficiency with Kafka (producers, consumers, and stream processing) and DynamoDB for high-scale, low-latency data storage
AI Coding Tools: Proven proficiency in leveraging modern AI development workflows to accelerate delivery and maintain code quality. You should be a 'power user' of tools such as Claude Code, GitHub Copilot (Agent Mode) or Cursor
Cloud Native: Hands-on experience with AWS and containerized workflows (K8S)
Communication: Excellent English skills and the ability to articulate complex technical decisions to the wider team
Nice to have:
Mathematical Intuition: Familiarity with forecasting concepts, statistics, or data science workflows
Testing Rigor: Experience with Consumer-Driven Contract testing (Pact) and advanced TDD/BDD practices
Domain-Driven Design: Any DDD knowledge is highly appreciated