OOCL operates one of the world's largest containerized shipping networks across Asia, Europe, the Americas, Africa, and Australasia. The tech stack reveals active infrastructure transformation: Kubernetes (AKS, Rancher, Istio), cloud-native tooling (Docker, CI/CD), and ML/AI components (PyTorch, TensorFlow, LightGBM, Databricks, Milvus) alongside legacy database maintenance (Oracle, PostgreSQL, MySQL). Current projects center on generative AI agents, MLOps/LLMps tooling, and DevOps automation—indicating engineering investment in AI-driven operational tools and cloud reliability. Pain points cluster around cloud system scaling and legacy network modernization, suggesting a mid-stack migration rather than greenfield build.
OOCL is a publicly listed Hong Kong-based container shipping and integrated logistics company operating since 1969, with 5,001–10,000 employees. The company provides containerized ocean transportation, terminal operations, and supply-chain logistics across major global trade routes. Operations span Asia, Europe, the Americas, Africa, and Australasia. Internally, OOCL is undertaking significant platform engineering work: deploying Kubernetes infrastructure, rolling out HR system upgrades, and building in-house generative AI and MLOps tooling. The engineering and data hiring velocity is accelerating, with mid-to-senior roles concentrated in China.
Java, JavaScript, Python, Node.js, Kubernetes (AKS, Rancher, Istio), Docker, PostgreSQL, MySQL, Oracle, MongoDB, PyTorch, TensorFlow, Databricks, and Milvus for ML/data infrastructure.
Generative AI agents, MLOps/LLMOps tooling, cloud platform management, DevOps automation, HR system rollout, production-grade inference services, and monitoring solutions.
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