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Orcrist Technologies via Greenhouse

Geospatial Full-Stack Engineer

Level not stated Berlin
still open verified 1d ago posted 245d ago checked 1h ago
Apply at job-boards.eu.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 245d ago

The date the source published, not the day we noticed it (2026-01-13). Last seen at its source 1h ago.

Is it remote?

Remote / Berlin

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

Berlin

The description agrees: it names Germany.

What the ad says
Eligible to work in Germany…

Pay not stated

Similar roles pay €102.5k–123.6k/yr

Middle 50% of 16 listings that do state pay — Engineering · all levels · Germany · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

API DesignDockerETLKafkaKubernetesObservabilityPythonReactSQLTroubleshootingTypeScript

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

Company

Orcrist builds secure data intelligence software for defense, law enforcement, and enterprise teams. Our Sentinel platform combines data integration, AI-assisted analysis, and operational workflows. The GEOINT team is extending it with geospatial data services, remote-sensing capabilities, and a web-based common operational picture.

Role

Build geospatial features from the analyst's interaction on the map through to the services and queries behind it. You'll work across TypeScript/React, Go, and Python to turn imagery catalogs, spatial datasets, and analytical results into useful product capabilities.

You will extend an existing platform while helping establish new geospatial services and applications. Working with frontend engineers, data engineers, data scientists, and domain experts, you'll own complete features and the interfaces that make them reusable across products.

What you'll do

  • Build complete analyst workflows: discover imagery, filter by area and time, add datasets to a map, inspect features, run spatial operations, and save or share the resulting workspace.
  • Develop TypeScript/React interfaces and Go/Python services, connecting interactive maps to catalogs, spatial queries, and processing jobs.
  • Design APIs for geospatial search, feature access, analysis requests, and job status, with clear validation, authorization, and error handling.
  • Implement PostGIS queries for viewport filtering, spatial joins, proximity, and temporal exploration; profile query plans and choose suitable indexes and response formats.
  • Integrate geocoding and routing capabilities so location search and routing work seamlessly in Sentinel’s map-based workflows.
  • Build the path from catalog indexing and spatial discovery to retrieval and map display for COGs, PMTiles, and GeoParquet. Issue presigned URLs after authorization and support HTTP range requests, URL renewal, and caching so large assets remain usable throughout long map sessions.
  • Use geospatial tools such as DuckDB Spatial, GDAL/PROJ, and GeoPandas alongside PostGIS, choosing appropriate formats and processing paths for interactive queries and analytical workloads.
  • Connect imagery acquisition and processing capabilities to Sentinel's existing ingestion, orchestration, identity, and ontology services.
  • Work with MapLibre and deck.gl, extending shared components and translating analytical outputs into clear map interactions.
  • Own testing, observability, documentation, and production troubleshooting for the features you ship. Use analyst feedback to improve both correctness and usability.

About you

  • Several years building production software, including geospatial applications or complex analytical interfaces.
  • University-level education in geoinformatics, geospatial engineering, computer science with a geospatial focus, or a related discipline.
  • Strong TypeScript and React skills, plus practical backend experience in Go and Python. You can take a feature across API, database, and frontend boundaries.
  • Experience with PostgreSQL/PostGIS, SQL, API design, and integrating asynchronous processing into user-facing applications.
  • Hands-on experience with MapLibre, deck.gl, OpenLayers, CesiumJS, or comparable mapping frameworks.
  • A sound understanding of coordinate reference systems, geometry types, raster versus vector data, spatial indexing, and tiled or viewport-based access.
  • Good engineering judgment around performance, security, testing, and maintainable service boundaries. You can investigate a slow map interaction across the whole request path.
  • Clear communication in English and the ability to work directly with designers, analysts, and other engineering teams. Eligible to work in Germany.

Nice-to-haves

  • STAC/pgSTAC, OGC APIs, TiTiler, Martin, or other geospatial catalog and serving technologies; H3 for spatial indexing and aggregation.
  • Familiarity with analytical data stacks using GeoParquet, Apache Arrow, and Apache Iceberg, and with tools such as QGIS or CARTO for exploring and validating spatial data.
  • TanStack Query/Store/Router, Bun, and experience building shared React components or developer-facing APIs.
  • Temporal, Kafka, Docker, Kubernetes, or delivery into self-hosted and air-gapped environments.
  • Satellite imagery workflows, geospatial processing in Python, or integration of model inference into analytical products.
  • Hands-on experience with OSM data pipelines and the open-source geo toolset around them.
  • Experience working in defence and intelligence environments or on related projects.
  • Strong interest and practical ability in agentic software development: using coding agents to plan, implement, test, and review software, and keeping up with rapidly evolving tools, techniques, and trends.
  • German language skills.

What We Offer

  • Ownership of geospatial features that become part of a shared intelligence platform.
  • A modern TypeScript, Go, and Python environment, with room to introduce well-founded technical improvements.
  • Direct collaboration with GEOINT specialists, product teams, and the people using your work.
  • Remote-first work in Germany with regular team sessions in Berlin and occasional sessions in Frankfurt and Munich.
  • 30 days of vacation, equipment and learning support, and meaningful work for public- and private-sector customers.
Apply at job-boards.eu.greenhouse.io