Build and operate shared cloud infrastructure for MOVO, a logistics management platform, and help product teams improve reliability, security, observability, and developer experience.
About this role
This full-cycle engineering role sits in Hacobu’s technology organization, which develops and operates the MOVO logistics platform. It works across customer operations and product engineering, addressing fragmented workflows involving shippers, logistics providers, transport companies, and warehouses. The role is positioned as a technical counterpart to business and solution teams on enterprise-scale projects.
The engineer interviews customers, analyzes operations, defines problems, proposes and implements solutions, and leads technical decisions with project stakeholders. Work includes AI workflows and agents, LLM-enabled automation, architecture and standardization through the platform’s Ontology, and integrations between MOVO services such as Berth, Fleet, Vista, PSI, and Adapter and core systems. The named stack includes Go, TypeScript, React, React Native, AWS, Kubernetes, Docker, Terraform, GitHub Actions, BigQuery, and related development tools.
The posting does not state a formal experience or degree threshold. It says logistics expertise is not required at entry and advanced machine-learning research experience is not required; the role is expected to engage directly with customer operations and carry technical problem solving through implementation and improvement.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Develop and operate the Go/gRPC backend for MOVO Berth, a logistics SaaS berth-booking product. Shape architecture and technology choices while improving reliability, performance, and cost.
Define logistics customers' operational problems, build AI/LLM workflow automation, integrate MOVO with core systems, and lead technical delivery from design through operations.
Develop AI and computer-vision technologies for mirrorless cameras, professional video equipment, interchangeable lenses and application software. Research detection and segmentation, improve autofocus, tracking and automated shooting, then implement and evaluate the results.
Senior 5G Cloud Engineer role in Tokyo associated with the RMI Core Network Operations Department. The posting identifies a senior engineering position focused on 5G cloud operations.
Lead DealOn’s engineering team hands-on with AI coding agents, owning delivery, technical decisions, roadmap, team growth, and hiring support. Tokyo; full remote unavailable.