Design and implement scalable backend services using TypeScript
Build systems for ingesting, storing, and serving large geospatial datasets
Develop data pipelines and APIs that deliver machine learning results and geospatial data to the platform
Work with high-throughput NoSQL databases such as Cassandra or Scylla
Design data architectures capable of handling petabyte-scale satellite datasets
Optimize backend systems for large-scale spatial queries and time-series data
Collaborate closely with ML engineers, frontend developers, and geospatial analysts
Own backend features end-to-end, from system design to production deployment
Contribute to architectural decisions as we scale our platform and data infrastructure

Strong backend development experience using TypeScript
Experience building data-intensive backend services
Experience working with distributed or NoSQL databases such as Apache Cassandra or Scylla
Solid understanding of scalable system design and data architecture
Experience designing APIs and backend services for large-scale applications
A strong product mindset and ability to think beyond implementation
Experience working in agile teams

Language requirements:

Nice to have:

Work on technology helping companies protect forests and ecosystems
Build systems combining AI, satellite data, and geospatial intelligence
Solve engineering challenges involving massive datasets and distributed data infrastructure
Collaborate with a multidisciplinary team of engineers, ML specialists, and geospatial analysts
Join a fast-moving team with strong ownership and short decision paths
Work from our Munich office near Sendlinger Tor with around 40 colleagues
Regular demo lunches and knowledge-sharing sessions
Hybrid work setup with strong in-person collaboration

Senior Backend Engineer – Typescript

Key skills