株式会社天地人のfixed-term project engagement｜Backend Developerの求人

[ ABOUT TENCHIJIN ]
Tenchijin Inc. is a Tokyo-headquartered space-tech company and JAXA (Japan Aerospace Exploration Agency) certified venture. Through its land-evaluation and analytics platform, Tenchijin COMPASS, the company fuses earth-observation satellite data, geospatial and environmental layers, IoT and ground-sensor feeds, and clients' operational data with proprietary AI to deliver multimodal analytics for utilities and infrastructure enterprises. Tenchijin's flagship water-infrastructure solution, KnoWaterleak, assesses pipeline deterioration and leak risk from space-derived insights and is used by a growing number of water utilities to prioritize inspection and investment, reduce non-revenue water, and extend asset life.

[ ABOUT THE PROJECT ]
The Global South Project is an 18-month initiative (October 2026 – March 2028) to design, build, and deploy a scalable, secure, AI-ready analytics platform tailored to utilities and infrastructure operators across Global South markets. The project adapts Tenchijin's satellite-data and GeoAI capabilities to regions facing aging or rapidly expanding infrastructure, constrained budgets, and limited field-inspection capacity — delivering risk assessment and decision-support tools that improve infrastructure management workflows. All positions are contract-based and fully remote, operating as one distributed, cross-border team with English as the working language.

[ ROLE SUMMARY ]
You will implement the domain logic and APIs that deliver Tenchijin's analytics to utility clients — clean, well-tested services handling geospatial queries, risk-score delivery, tenant data management, and ingestion of operational datasets. You will work closely with the Lead Backend Engineer to ship features on a predictable cadence.

[ Reports To ]
Lead Backend Engineer
[ Project Language ]
English (professional working proficiency or higher required)

[ KEY RESPONSIBILITIES ]

• mplement microservices and APIs per the backend architecture: clean domain logic, robust validation, and clear error handling.
• Build and maintain data-ingestion components for client operational data, IoT feeds, and geospatial datasets.
• Write comprehensive automated tests (unit, integration) and participate in code review.
• Optimize queries and service performance for high-volume, map-driven access patterns.
• Implement tenant-aware authorization and data-isolation logic per security standards.
• Collaborate with frontend developers on API contracts and with the GeoAI team on serving model outputs.
• Contribute to technical documentation and API references.
• Support debugging and resolution of production issues in your services.

[ WHAT WE OFFER ]

• A central role in applying satellite data and AI to real infrastructure challenges, with measurable social and environmental impact in Global South markets.
• Fully remote, cross-border collaboration with senior specialists across cloud, GeoAI, product, and design.
• Competitive contractor compensation commensurate with experience and scope.
• Direct exposure to earth-observation technology, including data ecosystems built with Japan's space agency (JAXA).
  Tenchijin Inc. is an equal-opportunity organization. We evaluate all applicants on qualifications and merit, without regard to nationality, race, religion, gender, age, or disability.
  TENCHIJIN INC. · GLOBAL SOUTH PROJECT

• 5+ years of backend development in a modern language (Go, Python, Java/Kotlin, or TypeScript/Node.js).
• Solid experience building and consuming REST/gRPC APIs and working with relational databases (PostgreSQL preferred).
• Testing discipline and familiarity with CI/CD-based workflows.
• Understanding of containerized development (Docker) and cloud-hosted services.
• Professional working proficiency in English.

• Experience with PostGIS or geospatial data handling.
• Experience with message queues / streaming (Kafka, Pub/Sub).
• Prior work on multi-tenant SaaS products.
• Experience working in a cross-functional POD / squad delivery model.