13 beste Stellen als java developer in oberpfaffenhofen – aktuell auf Personalsuche

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BridgingIT GmbH —München
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Pega Lead System Architect (all genders)
]init[ AG —München
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]init[ AG —München
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Lead Developer (m/w/d)
Hoffmann Group —München
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Bain & Co. —München
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BMW —München
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Neura Robotics —München
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Sofico —München
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Scalable GmbH —München
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Bain & Co. —München
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Senior Backend Engineer - Typescript (m/f/x)

osapiens -
München

Direkt bewerben

Details zur Stelle

Festanstellung | Vollzeit

Qualifikationen

Cassandra
Systemdesign
NoSQL
Java
Datenbanken
Machine Learning
APIs
Agile
Künstliche Intelligenz
TypeScript

Vollständige Stellenbeschreibung

Description

Build the data systems behind global-scale analysis

At osapiens Terra, we build technology that helps companies understand the environmental impact of their global supply chains. Our platform combines satellite imagery, geospatial data, and machine learning to detect deforestation risks, analyze land use, and support compliance with regulations such as the EU Deforestation Regulation (EUDR).

Our systems process millions of satellite images and analyze them with advanced machine learning models. The results power products used by over 800 companies and thousands of users worldwide, from global importers to sustainability teams.

We are looking for a Senior Backend Engineer - Typescript (m/f/x) to design and build the data infrastructure that powers our remote sensing platform.

You will join osapiens Terra, our Munich-based team focused on geospatial intelligence and environmental data. Our office near Sendlinger Tor brings together backend engineers, frontend developers, ML specialists, and geospatial analysts working at the intersection of enterprise software, climate data, and AI.

Your Responsibilities

As a Senior Backend Engineer - Typescript (m/f/x), you will build the data services and infrastructure that power our geospatial intelligence platform.

You will:

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

Technical Challenges

The backend systems you will work on operate at the intersection of AI, enterprise software systems, and distributed data infrastructure.

Key challenges include:

Processing millions of geodata points
Building high-performance enterprise software solutions
Designing scalable architectures for time-series environmental data
Integrating machine processes into production systems
Optimizing storage and retrieval for large spatial datasets

This role is ideal for engineers who enjoy building data-heavy systems, working with distributed databases, and solving problems around scale, performance, and data architecture.

Your Experience

We are looking for engineers who enjoy ownership and complex data systems.

You should have:

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:

English (C1 and above)
German (B1 and above)

Nice to have:

Experience with Java-based backend systems
Experience working with geospatial or environmental data
Experience with data pipelines or machine learning systems
Experience operating systems handling large-scale datasets

Prior experience with remote sensing or satellite data is not required — you will work closely with our ML and geospatial teams and learn these domains on the job.

Join us for this and more...

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

About osapiens

osapiens develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance.

Founded in 2018 and headquartered in Mannheim, Germany, osapiens works with around 2,500 companies in over 50 countries across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by Goldman Sachs and Decarbonization Partners, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.

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