TL;DR
Senior Backend Engineer (Data Platform): Design and build scalable backend services and data infrastructure for a geospatial intelligence platform processing petabyte-scale satellite datasets with an accent on distributed databases, large-scale spatial queries, and time-series environmental data. Focus on building high-performance backend systems integrating machine learning results and geospatial data for enterprise software in a hybrid Munich office setting.
Location: Munich, Germany (Hybrid)
Company
osapiens develops SaaS solutions combining AI, satellite imagery, and geospatial data to help companies analyze environmental impact and ensure sustainable supply chains.
What you will do
- Design and implement scalable backend services using TypeScript
- Build systems for ingesting, storing, and serving large geospatial datasets
- Develop data pipelines and APIs delivering machine learning results and geospatial data
- Work with high-throughput NoSQL databases such as Cassandra or Scylla
- Optimize backend systems for large-scale spatial queries and time-series data
- Collaborate with ML engineers, frontend developers, and geospatial analysts
Requirements
- Strong backend development experience with TypeScript
- Experience with distributed or NoSQL databases like Apache Cassandra or Scylla
- Solid understanding of scalable system design and data architecture
- English proficiency at C1 or above and German at B1 or above
- Ability to work in agile teams and strong product mindset
- Location: Must be able to work from Munich office (hybrid)
Nice to have
- Experience with Java-based backend systems
- Experience with geospatial or environmental data
- Experience with data pipelines or machine learning systems
- Experience operating systems handling large-scale datasets
Culture & Benefits
- Work on technology protecting forests and ecosystems
- Collaborate with a multidisciplinary team of engineers, ML specialists, and analysts
- Fast-moving team with strong ownership and short decision paths
- Hybrid work setup with strong in-person collaboration near Sendlinger Tor, Munich
- Regular demo lunches and knowledge-sharing sessions