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About the Role

Own and harden the data-delivery and serving backbone of SurfaceScout, LiveEO's solution for monitoring changes around critical assets like pipelines and power grids. You will make the path from detection to delivered customer insight reliable and repeatable, covering delivery-management and insight-generation services, post-processing steps, and the AWS and Prefect platform that runs them end to end, at scale. You will be the custodian of the systems that turn output into a dependable product that is deterministic, observable and resilient. This is a hands-on, delivery-first backend and platform role, with room to grow into the wider geospatial data platform.

Responsibilities

Co-own and extend the delivery-management service (SDMS) and the insight-generation and post-processing services.
Harden services into well-tested, documented systems to eliminate single-person dependency.
Own and maintain the AWS and Prefect delivery platform, including Lambda-based glue, orchestration flows, and cross-repo release.
Manage the PostgreSQL and PostGIS data model behind delivery, including schema and migrations.
Act as a reliable second owner for pipeline issues, unblocking orchestration runs, meeting delivery SLAs, and automating manual steps.
Automate QA across the serving path, covering schema and geometry integrity and coverage gaps.
Maintain structured metadata and STAC entries for traceability of every delivery.

Requirements

Strong Python experience in a production environment.
Experience building and running backend services with FastAPI (or similar), SQLAlchemy, Alembic, and Pydantic.
Experience with PostgreSQL and spatial data (PostGIS, GeoAlchemy2 or equivalent) is a strong plus.
Experience with AWS in production, mainly S3, Lambda, EC2, and IAM basics.
Experience with orchestration using Prefect, Airflow, Dagster, or equivalent.
Comfort handling geospatial raster and vector data (rasterio, geopandas, shapely, STAC, COG) for reliable data movement.
Pragmatic delivery and a reliability and operations mindset.
Ownership and verification mindset to validate outputs against reality.
Experience with distributed compute using Ray or Anyscale is a plus.
Experience with MLflow, or experiment and dataset versioning is a plus.
Foundations in remote-sensing or geospatial data, or SAR exposure (Capella, Sentinel-1) is a plus.
Experience with observability using structured logging, OpenTelemetry, and alerting is a plus.
Familiarity with satellite provider APIs such as Capella, UP42, Planet, and ICEYE is a plus.

Skills

Python
FastAPI
SQLAlchemy
Alembic
Pydantic
PostgreSQL
PostGIS
GeoAlchemy2
AWS
S3
Lambda
EC2
Prefect
Ray
Anyscale
GDAL
Rasterio
GeoPandas
Shapely
STAC
pystac
Cloud-Optimised GeoTIFF
rio-cogeo
MLflow
OpenTelemetry

Location

Berlin

Work Type

Hybrid
Remote

Experience Level

Mid-level
Senior

Benefits

Flexible working hours
Hybrid work model
Employee stock option program
Urban Sports membership
BVG subsidy
Corporate pension program
Free fruit, nuts and drinks

About the Company

LiveEO is a well-funded startup founded in 2018 and based in Berlin.
Our primary service is modelling risk to our customers’ assets and infrastructure from vegetation, ground deformation and change detection.
We currently have around 160 employees from all over the world with a variety of backgrounds.