Our Partner is a leading global logistics platform that streamlines freight management with seamless end-to-end cargo visibility. We empower businesses to optimise their supply chain operations, improve decision-making, and ensure timely delivery of goods across the globe. Join us at Our Partner and become part of a forward-thinking, tech-driven company committed to shaping the future of global logistics.
This is not a traditional Java development role. We are looking for an exceptional Senior Java Backend Engineer who combines deep backend engineering expertise with hands-on experience using modern AI coding assistants and LLM technologies. You will play a key role in defining how AI is adopted across our engineering organisation - introducing AI-assisted development practices, deploying LLM-based solutions, defining project structures for AI agents, and helping our development teams become significantly more productive, while continuing to build our cloud-native logistics platform.
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Lead the adoption of AI across the software engineering organisation.
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Design and implement LLM-powered development workflows.
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Define project structures and best practices for AI-assisted software development.
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Build reusable prompts, agent workflows, and coding standards for AI tools.
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Evaluate and introduce new AI technologies that improve developer productivity.
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Train and mentor developers in the effective use of AI coding assistants.
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Establish engineering guidelines for AI-generated code quality and security.
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Prototype new LLM-based solutions, including solutions built on local LLMs.
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Design and develop high-performance Java backend applications using Spring Boot.
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Design and implement scalable microservices and secure REST APIs.
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Build event-driven systems using Apache Kafka.
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Design and optimise PostgreSQL databases, including performance tuning.
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Build and deploy cloud-native applications on AWS.
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Participate in architecture discussions and technical design reviews.
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Perform code reviews and mentor other developers.
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Ensure software quality through automated testing and CI/CD best practices.
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6+ years of professional experience with Java and Spring Boot.
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Extensive hands-on experience with AI-assisted software development, using tools like OpenAI Codex, Claude Code, or equivalent, with a consistent strategy for code
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Experience with multi-agent configuration for development workflows.
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Experience integrating Model Context Protocol (MCP) extensions into development tooling (e.g., syncing Figma designs with Codex).
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Experience hosting or working with private LLMs on AWS; knowledge of Amazon Bedrock highly preferred.
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Knowledge of vector databases and vector distance calculations for tasks like data interpretation and product matching.
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Experience building AI agents to automate repetitive, non-coding operational tasks (e.g., updating ETAs).
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AI certifications are highly desirable.
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Experience with Spring Framework and REST API development.
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Experience with Apache Kafka and microservices architecture.
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Experience with PostgreSQL, database design, and performance tuning.
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Experience with Maven and JUnit.
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Working knowledge of AWS for application deployment, including ECS/EKS, S3, API Gateway, and CloudFront.
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Experience with Docker and Terraform is desirable.
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Experience with CI/CD pipelines and Git in an Agile/Scrum environment.
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Experience with Retrieval-Augmented Generation (RAG).
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Experience designing internal developer platforms or tooling that incorporates AI assistance.
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Experience working in logistics, transportation, customs, or e-commerce platforms
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Passionate about Artificial Intelligence and constantly experimenting with the latest AI technologies and techniques.
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Enjoys improving developer productivity and has excellent software architecture skills.
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Writes clean, maintainable, and scalable code.
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Strong analytical and problem-solving abilities.
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Can work independently while mentoring other engineers.
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Communicates effectively with both technical and non-technical stakeholders.
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Takes ownership and drives innovation - comfortable investigating and prototyping unproven AI approaches for real business problems.
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Opportunity to work on a modern cloud-native logistics platform.
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Exposure to challenging distributed systems at scale.
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Latest Java ecosystem and AWS technologies.
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AI-first engineering environment, with real ownership over how AI is integrated into the team's workflow.
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Collaborative and highly technical team.
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Opportunity to influence architecture and engineering standards.
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Competitive compensation based on experience.
