Software Engineer - Java and Spring Boot

Role Overview

We are hiring a JL3 Software Engineer to build and run core services in the Maersk Rate Engine (MRE) ecosystem. You will work on high-scale rate flows across various upstream, master data, and downstream execution systems through Kafka events and APIs, building resilient microservices and integrations. The role combines strong backend engineering fundamentals with a modern AI-enabled software development mindset, leveraging tools like GitHub Copilot and Cursor to accelerate delivery and improve software quality.

Responsibilities

• Build and own backend services in Java and Spring Boot for rate ingestion, validation, transformation, and publishing.
• Design robust integration patterns using APIs and events between MRE and connected systems.
• Improve reliability and performance of distributed services, including latency, throughput, and fault tolerance.
• Implement observability practices through metrics, logging, tracing, and alerting.
• Contribute to secure engineering practices including authentication, authorization, and secrets management.
• Work in modern delivery workflows using GitHub, GitHub Actions, and CI/CD.
• Collaborate with product, architecture, and platform teams on technical design and delivery.
• Adopt AI-assisted development practices to accelerate delivery while maintaining high standards of quality and security.

Requirements

• 3–6 years of backend engineering experience.
• Strong coding skills in Java (11/17+) and Spring Boot microservices.
• Good understanding of distributed systems fundamentals, including concurrency, idempotency, and circuit breakers.
• Hands-on experience with Kafka, REST APIs, and integration-heavy services.
• Experience deploying and operating workloads on Azure, preferably AKS.
• Familiarity with CI/CD and Git-based engineering workflows using GitHub.
• Familiarity with AI-assisted engineering tools such as GitHub Copilot or Cursor.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Nice to Have

• Experience in pricing, rates, logistics, transportation, or supply chain domains.
• Exposure to performance tuning of high-volume transactional systems.
• Experience integrating AI services, LLM APIs, or intelligent automation capabilities.
• Exposure to Azure AI, OpenAI, or MLOps concepts.

Skills

• Java
• Spring Boot
• Kafka
• Azure
• GitHub Copilot