Senior Backend Data Engineer

Company Overview

A.P. Moller - Maersk is an integrated container logistics company and member of the A.P. Moller Group. Connecting and simplifying trade to help our customers grow and thrive. With a dedicated team of over 95,000 employees, operating in 130 countries; we go all the way to enable global trade for a growing world. From the farm to your refrigerator, or the factory to your wardrobe, A.P. Moller - Maersk is developing solutions that meet customer needs from one end of the supply chain to the other.

At Maersk, the Global Ocean Manifest team is at the heart of global trade compliance and automation. We build intelligent, high‑scale systems that seamlessly integrate customs regulations across 100+ countries, ensuring smooth cross‑border movement of cargo by ocean, rail, and other transport modes. Our mission is to digitally transform customs documentation, reducing friction, optimizing workflows, and automating compliance for a complex web of regulatory bodies, ports, and customs authorities.

We deal with real‑time data ingestion, document generation, regulatory rule engines, and multi‑format data exchange while ensuring resilience and security at scale.

• Design the future state of our system by combining a strategic understanding of highest-level product goals with a deep knowledge of the landscape to inform the right technical and product trade‑offs for both short and long term.
• Steer end‑to‑end product with Product Managers, Business Stakeholders, and UX by engaging early and often to guide teams on the most efficient path towards overall goals.
• Collaborate with internal teams across Technology Solutions Engineering, Platform, Order Handling, Transport Management System, Automated Cargo Execution, Equipment Tracking, etc.
• Passionate about efficiency, availability, scalability, system quality and user experience with rapid prototyping and blazing fast time‑to‑market with minimum iterations.
• Continuously enhance testability, operational excellence (OE), and documentation for owned components.
• Strong knowledge of Computer Science fundamentals in object‑oriented design, data structures (what is to be used and what is NOT to be used), algorithm design, problem solving, and complexity analysis.
• Solid experience with distributed, multi‑tiered systems, algorithms, and relational, cache, transactional and distributed storage, along with 12‑factor app design.
• Nurture a culture of happy healthy teams including supportive feedback, technical quality, and have fun.

• 8+ years of experience in building enterprise applications using Java 17 and J2EE.
• Strong knowledge of Computer Science fundamentals in object‑oriented design, data structures (what is to be used and what is NOT to be used), algorithm design, problem solving, and complexity analysis.
• Solid experience with distributed, multi‑tiered systems, algorithms, and relational, cache, transactional and distributed storage, along with 12‑factor app design.
• Strong understanding of microservices architecture and various design patterns.
• Hands‑on experience in developing scalable and robust RESTful / Reactive APIs and event‑driven systems.
• Proficiency in public cloud technologies (Azure preferred), containerization, Kubernetes, CI/CD systems, and Dev Ops practices.
• Proficient in Spring (Core, Boot, Reactive, Servlet Stack), Hibernate, and JPA.
• Experience with Apache Flink and Apache Spark for real‑time and batch data processing.
• Experience working with Apache Kafka (including Kafka Streams).
• Experience with API Gateways (Apigee preferred), Swagger for API definition, and authentication standards (OAuth2, OpenID Connect).
• Experience with AI/ML tools and technologies such as NLP models, Tensor Flow, PyTorch, MLflow, Azure ML, Vertex AI, etc., would be a plus.
• Experience with Azure App Services and secure, scalable deployments.
• Hands‑on experience with Postgre
  
  SQL and Mongo
  
  DB.
• Familiarity with analytical and graph databases such as Apache Druid,flux
  
  DB, Neo4j, etc.
• Strong experience with JUnit, Mockito, and TDD/BDD approaches.
• Role‑based access control (RBAC), encryption, and security‑by‑design principles.
• Good…